Triple
T21038366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggie Castle |
E518251
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Walter Graham
Walter Graham was the husband of American film and television actress Peggie Castle, known for her roles in Westerns and crime dramas of the 1940s–1960s.
|
E1480021
|
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: Walter Graham | Statement: [Peggie Castle, spouse, Walter Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Graham Context triple: [Peggie Castle, spouse, Walter Graham]
-
A.
Walter Carroll
Walter Carroll was the husband of acclaimed American stage and screen actress Julie Harris.
-
B.
Walter Caldwell
Walter Caldwell is one of the eccentric, reclusive uncles at the heart of the coming-of-age film "Secondhand Lions," known for his adventurous past and gruff but ultimately caring nature.
-
C.
Walter Gray
Walter Gray is a fictional character from the 1932 action film serial "The Hurricane Express."
-
D.
Walter Hendricks
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
-
E.
Walter Briggs
Walter Briggs is a fictional character appearing in John Updike’s short story collection "Pigeon Feathers and Other Stories."
- 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: Walter Graham Triple: [Peggie Castle, spouse, Walter Graham]
Generated description
Walter Graham was the husband of American film and television actress Peggie Castle, known for her roles in Westerns and crime dramas of the 1940s–1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walter Graham Target entity description: Walter Graham was the husband of American film and television actress Peggie Castle, known for her roles in Westerns and crime dramas of the 1940s–1960s.
-
A.
Walter Carroll
Walter Carroll was the husband of acclaimed American stage and screen actress Julie Harris.
-
B.
Walter Caldwell
Walter Caldwell is one of the eccentric, reclusive uncles at the heart of the coming-of-age film "Secondhand Lions," known for his adventurous past and gruff but ultimately caring nature.
-
C.
Walter Gray
Walter Gray is a fictional character from the 1932 action film serial "The Hurricane Express."
-
D.
Walter Hendricks
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
-
E.
Walter Briggs
Walter Briggs is a fictional character appearing in John Updike’s short story collection "Pigeon Feathers and Other Stories."
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad4974688190a52fdccad3a29089 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae3744588190877e88dd38a80ebd |
completed | May 17, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09af2184808190b42b5073e90bd83d |
completed | May 17, 2026, 12:05 p.m. |
Created at: April 16, 2026, 2:12 p.m.