Triple
T20387652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winona Kirk |
E497998
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Alex Kurtzman |
—
|
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: Alex Kurtzman | Statement: [Winona Kirk, creator, Alex Kurtzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Kurtzman Context triple: [Winona Kirk, creator, Alex Kurtzman]
-
A.
Alex Kurtzman
chosen
Alex Kurtzman is an American screenwriter, producer, and director best known for co-writing blockbuster films like Star Trek (2009) and for overseeing several modern Star Trek television series.
-
B.
J. R. Orci
J. R. Orci is a television writer and producer known for his work on series such as "Fringe" and "The Blacklist."
-
C.
Joel Surnow
Joel Surnow is an American television writer and producer best known as the co-creator of the real-time action-thriller series "24."
-
D.
Mike Binder
Mike Binder is an American filmmaker, screenwriter, and actor known for creating and appearing in both comedic and dramatic films and television series.
-
E.
Roberto Orci
Roberto Orci is a Mexican-American screenwriter and producer best known for co-writing and producing major science fiction and action franchises such as the rebooted Star Trek films and the Transformers series.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.