Triple
T17067567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chappelle's Show |
E414127
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Michele Armour |
E414118
|
NE FINISHED |
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: Michele Armour | Statement: [Chappelle's Show, executiveProducer, Michele Armour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Armour Context triple: [Chappelle's Show, executiveProducer, Michele Armour]
-
A.
Michele Armour
chosen
Michele Armour is a television producer best known for serving as an executive producer on the influential sketch comedy series "Chappelle's Show."
-
B.
Grant Bardsley
Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
-
C.
Michele Gossett
Michele Gossett is known as the wife of American actor Robert Gossett.
-
D.
Chris Brigham
Chris Brigham is a film producer known for his work on major feature films, including the drama "By the Sea."
-
E.
Brent Maddock
Brent Maddock is an American screenwriter best known for co-writing popular science fiction and horror-comedy films such as "Short Circuit" and the "Tremors" series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbddd708190a6192466b7dfd606 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0123509e1481908cfc304b02fe8632 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.