Triple
T20619864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Trek: Short Treks |
E506670
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Heather Kadin |
—
|
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: Heather Kadin | Statement: [Star Trek: Short Treks, executiveProducer, Heather Kadin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Kadin Context triple: [Star Trek: Short Treks, executiveProducer, Heather Kadin]
-
A.
Heather Kadin
chosen
Heather Kadin is an American television producer known for her work on genre series such as Sleepy Hollow and multiple projects with J.J. Abrams’ Bad Robot Productions.
-
B.
Julie Kinney
Julie Kinney is the wife of "Diary of a Wimpy Kid" author and cartoonist Jeff Kinney.
-
C.
Heather Harlan
Heather Harlan is an American woman best known as the much younger second wife and widow of actor and comedian Tony Randall.
-
D.
Heather Wahlquist
Heather Wahlquist is an American actress and screenwriter known for her collaborations with filmmaker Nick Cassavetes, including roles in films such as "Alpha Dog."
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe0e22c81909f6efe21518e33f0 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:41 a.m.