Triple
T23336563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Dawson |
E591604
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Andre |
—
|
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 | Statement: [Andre Dawson, givenName, Andre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andre Context triple: [Andre Dawson, givenName, Andre]
-
A.
Andre
chosen
Andre is the given name of Andre Reed, a former American football wide receiver best known for his long career with the Buffalo Bills in the NFL.
-
B.
Andre
"Andre" is a 1994 family film about a young girl who befriends and cares for a harbor seal, inspired by a true story.
-
C.
Andred
Andred is a Gallifreyan guard from the classic Doctor Who series who becomes romantically involved with the Time Lady companion Leela.
-
D.
Anthony
Anthony is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
E.
Anthony
Anthony is the central protagonist of the television series "Crashing," around whom the show's narrative and character dynamics revolve.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197f1e0588190bf073b92be0bf9e4 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:16 p.m.