Triple
T6966758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donny Hathaway |
E161507
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Eulaulah Hathaway
Eulaulah Hathaway is best known as the widow of acclaimed American soul singer and songwriter Donny Hathaway.
|
E633154
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eulaulah Hathaway | Statement: [Donny Hathaway, spouse, Eulaulah Hathaway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eulaulah Hathaway Context triple: [Donny Hathaway, spouse, Eulaulah Hathaway]
-
A.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
-
B.
Hattie Maloney
Hattie Maloney is the brash, wisecracking nightclub singer who serves as the central comic heroine of the musical "Panama Hattie."
-
C.
Lela Rogers
Lela Rogers was an American journalist, screenwriter, and acting coach best known as the mother and early career mentor of Hollywood star Ginger Rogers.
-
D.
Carol Hathaway
Carol Hathaway is a dedicated and compassionate emergency room nurse and nurse manager on the television series "ER," known for her complex personal and professional relationship with Dr. Doug Ross.
-
E.
Jo Harlow
Jo Harlow is a technology executive best known for leading mobile device and smartphone businesses at companies such as Nokia and later Microsoft.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eulaulah Hathaway Triple: [Donny Hathaway, spouse, Eulaulah Hathaway]
Generated description
Eulaulah Hathaway is best known as the widow of acclaimed American soul singer and songwriter Donny Hathaway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eulaulah Hathaway Target entity description: Eulaulah Hathaway is best known as the widow of acclaimed American soul singer and songwriter Donny Hathaway.
-
A.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
-
B.
Hattie Maloney
Hattie Maloney is the brash, wisecracking nightclub singer who serves as the central comic heroine of the musical "Panama Hattie."
-
C.
Lela Rogers
Lela Rogers was an American journalist, screenwriter, and acting coach best known as the mother and early career mentor of Hollywood star Ginger Rogers.
-
D.
Carol Hathaway
Carol Hathaway is a dedicated and compassionate emergency room nurse and nurse manager on the television series "ER," known for her complex personal and professional relationship with Dr. Doug Ross.
-
E.
Jo Harlow
Jo Harlow is a technology executive best known for leading mobile device and smartphone businesses at companies such as Nokia and later Microsoft.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db121174819098e73e45f6c9cc91 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761908564819084505f0ab1122a9c |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c76343aee0819098177ef2e5f833db |
completed | March 28, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c763eb69408190b7caa188ce13646e |
completed | March 28, 2026, 5:15 a.m. |
Created at: March 27, 2026, 2:30 p.m.