Triple
T18835052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Williams |
E460639
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Andre Williams |
—
|
NE NERFINISHED |
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: Andre Williams | Statement: [Andre Williams, hasName, Andre Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andre Williams Context triple: [Andre Williams, hasName, Andre Williams]
-
A.
Andre Williams
chosen
Andre Williams was an American R&B singer, songwriter, and record producer known for his gritty vocal style and influential work in soul and funk music.
-
B.
Andre Williams
Andre Williams is a character in the film "Watch Over Me," contributing to the drama’s central interpersonal conflicts and emotional tension.
-
C.
Jeffrey Williams
Jeffrey Williams is a NASA astronaut and retired U.S. Army officer known for his multiple long-duration missions aboard the International Space Station.
-
D.
Mike Williams
Mike Williams is a Swedish computer scientist best known as one of the creators of the Erlang programming language.
-
E.
Mike Williams
Mike Williams is the real-life chief electronics technician whose experiences during the 2010 Deepwater Horizon oil rig disaster were dramatized in the film "Deepwater Horizon."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.