Triple
T22255328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The American |
E550081
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Grant Heslov |
—
|
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: Grant Heslov | Statement: [The American, producer, Grant Heslov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Heslov Context triple: [The American, producer, Grant Heslov]
-
A.
Grant Heslov
chosen
Grant Heslov is an American actor, screenwriter, director, and producer best known for his frequent collaborations with George Clooney on acclaimed films such as "Good Night, and Good Luck" and "Argo."
-
B.
David Cromer
David Cromer is an American director and actor known for his acclaimed work in theater, including innovative stage productions and performances on and off Broadway.
-
C.
Michael Hurd
Michael Hurd is a British composer and musicologist best known for his choral works, educational music, and accessible compositions for amateur performers.
-
D.
Leon Halfin
Leon Halfin was the father of fashion designer Diane von Fürstenberg and a Holocaust survivor whose experiences deeply influenced her life and work.
-
E.
David Seidler
David Seidler is a British-American screenwriter best known for writing the Academy Award-winning screenplay for the historical drama film "The King’s Speech."
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c1d70881908df47b0f818c0022 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.