Triple
T23295717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malibu Country |
E590162
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Michael Hanel |
—
|
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: Michael Hanel | Statement: [Malibu Country, executiveProducer, Michael Hanel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Hanel Context triple: [Malibu Country, executiveProducer, Michael Hanel]
-
A.
Michael Hanel
chosen
Michael Hanel is a television producer best known for his executive production work on the sitcom "The War at Home."
-
B.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
-
C.
Michael Haney
Michael Haney is a fictional character who serves as the main protagonist in the 1960 comedy film "Who Was That Lady?".
-
D.
Michael Elkins
Michael Elkins was a screenwriter known for his work on the 1960 biblical epic film "Esther and the King."
-
E.
Michael Bille
Michael Bille was a notable member of the Danish Bille noble family, recognized for his role and status within this historically influential lineage.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cec9e88190b83cfd53a6455e0f |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.