Triple
T20398157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Ticket to Tomahawk |
E500261
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Harry Jackson |
—
|
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: Harry Jackson | Statement: [A Ticket to Tomahawk, cinematographyBy, Harry Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Jackson Context triple: [A Ticket to Tomahawk, cinematographyBy, Harry Jackson]
-
A.
Harry Jackson
chosen
Harry Jackson was a cinematographer known for his work on classic Hollywood films, including the 1953 musical "The Band Wagon."
-
B.
Harry Jackson
Harry Jackson was an American painter and sculptor known for his Western-themed artworks and contributions to 20th-century realism.
-
C.
Harrison Knight
Harrison Knight is an actor known for playing the character Texas Ranger Bobby.
-
D.
Tom Jackson
Tom Jackson is a former NFL linebacker and longtime ESPN analyst best known for his standout career with the Denver Broncos.
-
E.
Tom Jackson
Tom Jackson is a Canadian actor and singer best known for his roles in film and television as well as his humanitarian work, particularly within Indigenous communities.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798c2b28819092fab93f01218cde |
completed | April 20, 2026, 7:07 p.m. |
Created at: April 16, 2026, 11:29 a.m.