Triple
T18945238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Crouch |
E463493
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Paul Crouch |
—
|
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: Paul Crouch | Statement: [Matthew Crouch, hasRelative, Paul Crouch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Crouch Context triple: [Matthew Crouch, hasRelative, Paul Crouch]
-
A.
Paul Crouch Jr.
chosen
Paul Crouch Jr. is an American Christian media executive and producer, known for his work with the Trinity Broadcasting Network and involvement in faith-based film and television projects.
-
B.
Guy Wilkerson
Guy Wilkerson was an American character actor best known for his roles in Westerns and B-movies during the mid-20th century.
-
C.
Michael Hinn
Michael Hinn was an American actor known for supporting roles in mid-20th-century films, including the 1957 crime drama "The Big Boodle."
-
D.
Joe Hagin
Joe Hagin is an American political operative and government official who has served in senior White House roles under multiple Republican presidents, including as a key manager of presidential operations and logistics.
-
E.
Alan Parrish
Alan Parrish is the adventurous boy-turned-man trapped for decades inside a magical, dangerous board game in the fantasy film "Jumanji."
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53f6eb8819099b1268db8b14d66 |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.