Triple
T12997383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailie Sahar |
E322074
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | FX network |
E87107
|
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: FX network | Statement: [Hailie Sahar, associatedWith, FX network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FX network Context triple: [Hailie Sahar, associatedWith, FX network]
-
A.
FX Networks
chosen
FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented programming.
-
B.
FOX
FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
-
C.
USA Network
USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
-
D.
Fox Channel
Fox Channel is an international entertainment television network known for airing a mix of popular TV series, movies, and original programming across various global markets.
-
E.
TNT network
TNT network is an American cable television channel known for airing drama series, sports coverage, and feature 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fe9d608190b9d503f4da1fe0c0 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:45 p.m.