Triple
T20739068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Parsons |
E509789
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Time 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: Time Warner | Statement: [Richard Parsons, employer, Time Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Time Warner Context triple: [Richard Parsons, employer, Time Warner]
-
A.
Time Warner
chosen
Time Warner was a major American media and entertainment conglomerate known for owning prominent film, television, and publishing assets such as Warner Bros., HBO, and CNN.
-
B.
Time Warner Communications
Time Warner Communications was a former cable television and telecommunications provider in the United States that later became part of Bright House Networks.
-
C.
Warner Communications
Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
-
D.
Viacom
Viacom is a major American media conglomerate known for its extensive portfolio of television networks, film production, and entertainment brands.
-
E.
NBCUniversal
NBCUniversal is a major American media and entertainment conglomerate known for its television networks, film studio, and extensive sports broadcasting portfolio.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20c36708190898b889b6989fc7d |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.