Triple
T18861654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ET Live |
E461325
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Entertainment Tonight |
—
|
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: Entertainment Tonight | Statement: [ET Live, basedOn, Entertainment Tonight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entertainment Tonight Context triple: [ET Live, basedOn, Entertainment Tonight]
-
A.
Entertainment Tonight
chosen
Entertainment Tonight is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
-
B.
E!
E! is an American cable television network best known for its entertainment news, celebrity gossip, and pop culture–focused reality programming.
-
C.
MTV News
MTV News was the news division of the MTV television network, known for covering music, pop culture, and youth-oriented current events.
-
D.
Inside Edition
Inside Edition is a long-running American television newsmagazine program that focuses on tabloid-style news, celebrity stories, and human-interest features.
-
E.
Good Morning America
Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c06184d88190bd05413a07a8c9ce |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.