Triple
T13616823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As Good as It Gets |
E325336
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Vincent
Vincent is a minor character in the 1997 romantic comedy-drama film "As Good as It Gets."
|
E1051585
|
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: Vincent | Statement: [As Good as It Gets, character, Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Context triple: [As Good as It Gets, character, Vincent]
-
A.
Vincent
Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
-
B.
Vincent
"Vincent" is a British television drama series featuring Ray Winstone in a leading role as a private investigator.
-
C.
Vincent
Vincent is the mysterious, lion-like protagonist who dwells beneath New York City in the cult fantasy-romance TV series "Beauty and the Beast."
-
D.
Vincent
Vincent is a character from Disney's "Beauty and the Beast," known as one of the children in the extended universe of the story.
-
E.
Vincent Benedict
Vincent Benedict is one of the mismatched twin brothers in the 1988 comedy film "Twins," portrayed as the street-smart, scheming counterpart to Arnold Schwarzenegger’s character.
- 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: Vincent Triple: [As Good as It Gets, character, Vincent]
Generated description
Vincent is a minor character in the 1997 romantic comedy-drama film "As Good as It Gets."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vincent Target entity description: Vincent is a minor character in the 1997 romantic comedy-drama film "As Good as It Gets."
-
A.
Vincent
Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
-
B.
Vincent
"Vincent" is a British television drama series featuring Ray Winstone in a leading role as a private investigator.
-
C.
Vincent
Vincent is the mysterious, lion-like protagonist who dwells beneath New York City in the cult fantasy-romance TV series "Beauty and the Beast."
-
D.
Vincent
Vincent is a character from Disney's "Beauty and the Beast," known as one of the children in the extended universe of the story.
-
E.
Vincent Benedict
Vincent Benedict is one of the mismatched twin brothers in the 1988 comedy film "Twins," portrayed as the street-smart, scheming counterpart to Arnold Schwarzenegger’s character.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9ecc2881909f71d71e056f9459 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f782c41634819096b0939c6c917259 |
completed | May 3, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78366eca88190be313c3a1b1e23ff |
completed | May 3, 2026, 5:18 p.m. |
Created at: April 9, 2026, 9:50 p.m.