Triple
T16785959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cy Kendall |
E407974
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cy Kendall |
E407974
|
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: Cy Kendall | Statement: [Cy Kendall, name, Cy Kendall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cy Kendall Context triple: [Cy Kendall, name, Cy Kendall]
-
A.
Cy Kendall
chosen
Cy Kendall was a British-born character actor known for his burly build and frequent roles as tough guys or villains in American films of the 1930s and 1940s.
-
B.
Adam Kendall
Adam Kendall is a musician best known for his past role as a member of the experimental metal band Neurosis.
-
C.
Ray Colcord
Ray Colcord was an American record producer and composer best known for his work in rock music and for scoring numerous television shows.
-
D.
Joe Dougherty
Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
-
E.
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21a52ac8190b4374aa0fc45683a |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab07bdcc819086479178e5b8b679 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.