Triple
T16190085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubie Halloween |
E392911
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Allen Covert |
E200747
|
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: Allen Covert | Statement: [Hubie Halloween, producer, Allen Covert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen Covert Context triple: [Hubie Halloween, producer, Allen Covert]
-
A.
Allen Covert
chosen
Allen Covert is an American actor, comedian, writer, and film producer best known for his frequent collaborations with Adam Sandler in numerous comedy films.
-
B.
Daniel Stroud
Daniel Stroud is a fictional character from the British mockumentary sitcom "Twenty Twelve," which satirizes the organizing committee behind the 2012 London Olympics.
-
C.
Kent R. Weeks
Kent R. Weeks is an American Egyptologist best known for his rediscovery and excavation of the vast tomb KV5 in the Valley of the Kings.
-
D.
Jeremy Kemp
Jeremy Kemp was a British character actor known for his roles in films such as "The Blue Max," "A Bridge Too Far," and numerous television dramas.
-
E.
George Hackathorne
George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d4ab8081909a02e5138b29b83b |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a7223c81909f04144bdffb22ff |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:02 a.m.