Triple
T8431559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Water Man |
E199125
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Emma Needell
Emma Needell is a screenwriter and filmmaker best known for writing the family adventure drama "The Water Man."
|
E732732
|
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: Emma Needell | Statement: [The Water Man, screenwriter, Emma Needell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Needell Context triple: [The Water Man, screenwriter, Emma Needell]
-
A.
Jacelyn Reeves
Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
-
B.
Nicole Fugere
Nicole Fugere is an American actress best known for playing Wednesday Addams in late-1990s Addams Family television projects.
-
C.
Libby Snyder
Libby Snyder is known as the spouse of American poet James Wright.
-
D.
Emily Dorman
Emily Dorman was the wife of Antarctic explorer Sir Ernest Shackleton, known for supporting his polar expeditions and managing family life during his long absences.
-
E.
Ariel Moore
Ariel Moore is the rebellious and spirited teenage daughter of a strict minister in the musical film "Footloose," whose desire for freedom and dancing drives much of the story’s conflict.
- 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: Emma Needell Triple: [The Water Man, screenwriter, Emma Needell]
Generated description
Emma Needell is a screenwriter and filmmaker best known for writing the family adventure drama "The Water Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Needell Target entity description: Emma Needell is a screenwriter and filmmaker best known for writing the family adventure drama "The Water Man."
-
A.
Jacelyn Reeves
Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
-
B.
Nicole Fugere
Nicole Fugere is an American actress best known for playing Wednesday Addams in late-1990s Addams Family television projects.
-
C.
Libby Snyder
Libby Snyder is known as the spouse of American poet James Wright.
-
D.
Emily Dorman
Emily Dorman was the wife of Antarctic explorer Sir Ernest Shackleton, known for supporting his polar expeditions and managing family life during his long absences.
-
E.
Ariel Moore
Ariel Moore is the rebellious and spirited teenage daughter of a strict minister in the musical film "Footloose," whose desire for freedom and dancing drives much of the story’s conflict.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce038902308190bff57c9ce14e72ed |
completed | April 2, 2026, 5:50 a.m. |
| NEDg | Description generation | batch_69ce07851c4081909a9468a386035bb2 |
completed | April 2, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce07ec00248190bb10fee54265c7f9 |
completed | April 2, 2026, 6:08 a.m. |
Created at: March 30, 2026, 6:07 p.m.