Triple
T20287007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Cows |
E509907
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | David Odd |
—
|
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: David Odd | Statement: [Mad Cows, cinematographyBy, David Odd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Odd Context triple: [Mad Cows, cinematographyBy, David Odd]
-
A.
David Odd
chosen
David Odd is a cinematographer known for his work on the film "Mad Cows."
-
B.
David Hodo
David Hodo is an American singer and performer best known as the construction worker character in the disco group Village People.
-
C.
David Hankins
David Hankins is a film editor best known for his work on the 1986 animated feature "Transformers: The Movie."
-
D.
Steven Stroud
Steven Stroud is an American illustrator and cover artist known for his work on numerous science fiction and fantasy book covers.
-
E.
David Schearl
David Schearl is the introspective, anxiety-ridden Jewish immigrant boy whose experiences in early 20th-century New York City form the emotional core of Henry Roth’s novel "Call It Sleep."
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676931fe08190b278d829a745701f |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:07 a.m.