Triple
T10323238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzie Gold |
E242691
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | David Odd |
E509907
|
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: David Odd | Statement: [Suzie Gold, cinematographyBy, David Odd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Odd Context triple: [Suzie Gold, cinematographyBy, David Odd]
-
A.
David Odd
chosen
David Odd is a cinematographer known for his work on the film "Mad Cows."
-
B.
Steven Stroud
Steven Stroud is an American illustrator and cover artist known for his work on numerous science fiction and fantasy book covers.
-
C.
Paul Devorski
Paul Devorski is a retired Canadian National Hockey League referee known for officiating numerous high-profile games over his long career.
-
D.
Dan Osborn
Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
-
E.
Daniel Osbourne
Daniel Osbourne is a fictional character from the television series "Buffy the Vampire Slayer," known as the quiet, guitar-playing werewolf and love interest of Willow Rosenberg.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cdb6cc8190b37ca4494287128b |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da2053481908fe5ed097b480cdd |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.