Triple
T21390364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner Park |
E527628
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Warner family (local) |
—
|
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 family (local) | Statement: [Warner Park, namedAfter, Warner family (local)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warner family (local) Context triple: [Warner Park, namedAfter, Warner family (local)]
-
A.
Warner family
chosen
The Warner family is the prominent American film-industry family best known for founding and running Warner Bros. Studios.
-
B.
Ward family
The Ward family is a historically significant family after whom Wards Island in New York is named.
-
C.
Walters family
The Walters family is a prominent art-collecting family best known for assembling the core holdings of the Walters Art Museum in Baltimore.
-
D.
Warne family
The Warne family is an English family best known for its association with Frederick Warne & Co., the publishing house that worked closely with Beatrix Potter and other notable authors.
-
E.
Webber family
The Webber family is a prominent fictional family featured in the long-running American soap opera "General Hospital."
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b112a7808190ae4b180ce0d2b408 |
completed | April 22, 2026, 11:29 a.m. |
Created at: April 16, 2026, 5:13 p.m.