Triple
T20153224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wycliffe |
E491487
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ted Childs |
—
|
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: Ted Childs | Statement: [Wycliffe, executiveProducer, Ted Childs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Childs Context triple: [Wycliffe, executiveProducer, Ted Childs]
-
A.
Ted Childs
chosen
Ted Childs is a British television producer and executive known for overseeing numerous popular drama series, including serving as executive producer on the medieval mystery series "Cadfael."
-
B.
Tim O’Heir
Tim O’Heir is an American sound designer and music producer known for his work on Broadway and in alternative rock, including the revival of "Hedwig and the Angry Inch."
-
C.
Michael Seibel
Michael Seibel is an American entrepreneur and investor best known as a managing director and group partner at Y Combinator and co-founder of multiple influential startups.
-
D.
Chris Woodard
Chris Woodard is a person notable enough to be recognized as a namesake of the surname Woodard.
-
E.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dda9b4819097ff66bb2b50fc21 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.