Triple
T22840607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unbelievable |
E566067
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Eric Lange |
—
|
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: Eric Lange | Statement: [Unbelievable, stars, Eric Lange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Lange Context triple: [Unbelievable, stars, Eric Lange]
-
A.
Eric Lange
chosen
Eric Lange is an American character actor known for his roles in television series such as Victorious, Lost, and Narcos.
-
B.
Anthony E. Zuiker
Anthony E. Zuiker is an American television producer and writer best known for originating the CSI franchise, one of the most successful crime drama series in TV history.
-
C.
Geoffrey Fletcher
Geoffrey Fletcher is an American screenwriter and filmmaker best known for his Academy Award–winning adapted screenplay for the film "Precious."
-
D.
David E. Kelley
David E. Kelley is an American television writer and producer known for creating and producing acclaimed legal and drama series such as Ally McBeal, The Practice, and Big Little Lies.
-
E.
Dennis Gassner
Dennis Gassner is an acclaimed American production designer and art director known for his visually distinctive work on films such as "Blade Runner 2049," "Skyfall," and "O Brother, Where Art Thou?".
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.