Triple
T23540762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik King |
E577738
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Big Time |
—
|
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: Big Time | Statement: [Erik King, hasActedIn, Big Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Time Context triple: [Erik King, hasActedIn, Big Time]
-
A.
Big Time
"Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
-
B.
Big Time
chosen
Big Time is a 1989 American comedy film starring Arye Gross as a struggling comedian navigating the stand-up scene.
-
C.
Big Time
Big Time is a 2022 country-tinged indie rock album by American singer-songwriter Angel Olsen that explores themes of grief, love, and personal transformation.
-
D.
The Big Time
The Big Time is a 2002 Croatian comedy film directed by Milan Trenc that satirizes the world of television and media ambition.
-
E.
The Big Time
The Big Time is a Hugo Award–winning science fiction novel by Fritz Leiber that explores time travel, reality manipulation, and the psychological impact of an endless temporal war.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.