Triple
T13573702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent Damphousse |
E324227
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Vincent |
E18457
|
NE FINISHED |
How this triple was built (2 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: [Vincent Damphousse, givenName, Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Context triple: [Vincent Damphousse, givenName, Vincent]
-
A.
Vincent
chosen
Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
-
B.
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."
-
C.
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.
-
D.
Vincent
"Vincent" is a British television drama series featuring Ray Winstone in a leading role as a private investigator.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0106cb48190b20eb9bda131a68a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb827d48190958e5710d554cd04 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.