Triple
T22891070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic (2013 film) |
E568040
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Matt Ember |
—
|
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: Matt Ember | Statement: [Epic (2013 film), screenwriter, Matt Ember]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Ember Context triple: [Epic (2013 film), screenwriter, Matt Ember]
-
A.
Matt Ember
chosen
Matt Ember is an American screenwriter best known for co-writing the 2008 comedy film adaptation of "Get Smart" and other studio comedies.
-
B.
Tobias
Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
-
C.
Tobias
Tobias is the full given name of Toby Ziegler, the fictional White House Communications Director from the television series "The West Wing."
-
D.
Tobias
Tobias is a surname of likely Hebrew origin, borne by various notable individuals including the American character actor George Tobias.
-
E.
Tobias
Tobias is a supporting character in the film "Magic Mike XXL," appearing as part of the ensemble surrounding the group of male strippers.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc59e108190a22f90c2439830fb |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.