Triple
T1971314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Warner |
E42806
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Warner |
E18794
|
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: Warner | Statement: [Albert Warner, familyName, Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warner Context triple: [Albert Warner, familyName, Warner]
-
A.
Warner
chosen
Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
-
B.
Warner Sogefilms
Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
-
C.
Warner Bros. Entertainment
Warner Bros. Entertainment is a major American film and television studio and media company known for producing blockbuster franchises and owning prominent entertainment brands such as DC Comics.
-
D.
Warner Communications
Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
-
E.
WarnerColor
WarnerColor was a proprietary color motion picture process developed by Warner Bros. and used in several of its mid-20th-century films.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d2836c8190a35cb6d8e2dd4bdf |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eec6df94819099ee129cc6199935 |
completed | March 11, 2026, 10:37 p.m. |
Created at: March 4, 2026, 7:36 p.m.