Triple
T20051625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner Baxter |
E499213
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Warner |
—
|
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: Warner | Statement: [Warner Baxter, givenName, Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warner Context triple: [Warner Baxter, givenName, Warner]
-
A.
Warner
chosen
Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
-
B.
Warner
Warner is a small town located in Muskogee County in the state of Oklahoma, United States.
-
C.
Warner
Warner is a residential suburb located within Queensland’s Moreton Bay Region, north of Brisbane, Australia.
-
D.
Warner
Warner is the fictional cartoon species of the zany, anthropomorphic siblings featured in the animated series "Animaniacs."
-
E.
Warner’s
Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632ee4d48190b9de3a1efa064492 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.