Triple
T22147939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Adler |
E547337
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Luke Adler |
—
|
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: Luke Adler | Statement: [Jake Adler, hasChild, Luke Adler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Adler Context triple: [Jake Adler, hasChild, Luke Adler]
-
A.
Luke Adler
chosen
Luke Adler is the son of Jane Adler.
-
B.
Jake Adler
Jake Adler is a middle-aged bakery owner and divorced father who becomes entangled in a romantic triangle with his ex-wife and her new love interest in the film "It's Complicated."
-
C.
Christopher Young
Christopher Young is an American film composer renowned for his atmospheric and often darkly dramatic scores across horror, thriller, and action movies.
-
D.
Mike Kellin
Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
-
E.
Jason Horwitch
Jason Horwitch is an American screenwriter and producer known for his work in film and television, including writing the movie "Finding Graceland."
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f209688190afea1f275c922c73 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.