Triple
T21389584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Meyer |
E527604
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Joey Meyer |
—
|
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: Joey Meyer | Statement: [Ray Meyer, child, Joey Meyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey Meyer Context triple: [Ray Meyer, child, Joey Meyer]
-
A.
Joey Meyer
chosen
Joey Meyer is an American basketball coach best known for leading DePaul University's men's basketball program through much of the 1980s and early 1990s.
-
B.
Joey Parnes
Joey Parnes is a prominent Broadway producer known for shepherding numerous high-profile plays and musicals to the New York stage.
-
C.
Jonah Meyerson
Jonah Meyerson is an American actor best known for his work as a child performer in films like "The Royal Tenenbaums" and "The Manchurian Candidate."
-
D.
Joey Gould
Joey Gould is an alternate name for Joe Gould, an eccentric New York City bohemian best known for claiming to write an enormous, never-completed "Oral History of Our Time."
-
E.
Jared Kleinman
Jared Kleinman is a sarcastic, tech-savvy high school student who serves as comic relief and a reluctant accomplice in the musical "Dear Evan Hansen."
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f8ae288190b43df9fe2841a822 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:13 p.m.