Triple
T7256974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of the World, Part I |
E157745
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Woody Omens |
E248302
|
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: Woody Omens | Statement: [History of the World, Part I, cinematographyBy, Woody Omens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woody Omens Context triple: [History of the World, Part I, cinematographyBy, Woody Omens]
-
A.
Woody Omens
chosen
Woody Omens is an American cinematographer best known for his work on films such as the 1989 crime-comedy "Harlem Nights."
-
B.
Woopi
Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
-
C.
Woody
Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
-
D.
Woody
Woody is the nickname of Woody Guthrie, the influential American folk singer-songwriter known for his protest music and the anthem "This Land Is Your Land."
-
E.
Wishbone
Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eaa274bc8190b017b71583711453 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3b541708190b66233813b167453 |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:57 p.m.