Triple
T10512599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 Women |
E247951
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Willie Hart
Willie Hart is a character from the 1977 film "3 Women," a psychological drama directed by Robert Altman.
|
E872747
|
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: Willie Hart | Statement: [3 Women, character, Willie Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willie Hart Context triple: [3 Women, character, Willie Hart]
-
A.
Willie Howard
Willie Howard was an American vaudeville and Broadway comedian and actor known for his comic performances in early 20th-century stage and film productions.
-
B.
Willie Taylor
Willie Taylor is an American R&B singer and reality TV personality best known as a member of the MTV-formed group Day26.
-
C.
Willie Harper
Willie Harper is an American former NFL linebacker best known for his long tenure with the San Francisco 49ers, including their Super Bowl XVI championship team.
-
D.
Willie T. Soke
Willie T. Soke is the foul-mouthed, hard-drinking conman who poses as a department store Santa Claus in the dark comedy film "Bad Santa."
-
E.
Willie Applegarth
Willie Applegarth was a British sprinter who won gold and bronze medals at the 1912 Stockholm Olympics and set multiple world records in short-distance track events.
- 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: Willie Hart Triple: [3 Women, character, Willie Hart]
Generated description
Willie Hart is a character from the 1977 film "3 Women," a psychological drama directed by Robert Altman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Willie Hart Target entity description: Willie Hart is a character from the 1977 film "3 Women," a psychological drama directed by Robert Altman.
-
A.
Willie Howard
Willie Howard was an American vaudeville and Broadway comedian and actor known for his comic performances in early 20th-century stage and film productions.
-
B.
Willie Taylor
Willie Taylor is an American R&B singer and reality TV personality best known as a member of the MTV-formed group Day26.
-
C.
Willie Harper
Willie Harper is an American former NFL linebacker best known for his long tenure with the San Francisco 49ers, including their Super Bowl XVI championship team.
-
D.
Willie T. Soke
Willie T. Soke is the foul-mouthed, hard-drinking conman who poses as a department store Santa Claus in the dark comedy film "Bad Santa."
-
E.
Willie Applegarth
Willie Applegarth was a British sprinter who won gold and bronze medals at the 1912 Stockholm Olympics and set multiple world records in short-distance track events.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509ca214481909b3ed9265e7a6704 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b13f4fc8190863d6e1aa7da5733 |
completed | April 10, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d94c6fa9ac8190819a399754d2bd15 |
completed | April 10, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d953440a508190a50d1897cdbeba03 |
completed | April 10, 2026, 7:45 p.m. |
Created at: April 6, 2026, 12:27 p.m.