Triple
T21611834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon family |
E533330
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Danny Strong |
—
|
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: Danny Strong | Statement: [Lyon family, createdBy, Danny Strong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Strong Context triple: [Lyon family, createdBy, Danny Strong]
-
A.
Danny Strong
chosen
Danny Strong is an American actor, screenwriter, and producer known for his work on acclaimed projects such as the TV series Empire and the films Recount and Game Change.
-
B.
Warren Leight
Warren Leight is an American television writer, producer, and playwright best known for his leadership and storytelling on crime and legal drama series.
-
C.
Patrick Melton
Patrick Melton is an American screenwriter and producer best known for co-writing several installments of the Saw horror film franchise.
-
D.
Daniel Waters
Daniel Waters is an American screenwriter best known for his sharp, satirical scripts, including the cult classic film "Heathers" and the sci-fi action movie "Demolition Man."
-
E.
Joe Higgins
Joe Higgins was an American character actor known for his roles in television series and commercials during the 1960s and 1970s.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba79424819094e9ee93c4bbcc0b |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.