Triple
T20183415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killing Zoe |
E492790
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Tom Richmond |
—
|
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: Tom Richmond | Statement: [Killing Zoe, cinematographyBy, Tom Richmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Richmond Context triple: [Killing Zoe, cinematographyBy, Tom Richmond]
-
A.
Tom Richmond
chosen
Tom Richmond is an American cinematographer known for his work on independent and genre films, including Rob Zombie’s horror movie "House of 1000 Corpses."
-
B.
Archie Rice
Archie Rice is a washed-up, cynical music-hall performer whose personal and professional decline embodies the fading glory of British vaudeville.
-
C.
Joe Guinn
Joe Guinn was a civil rights activist best known for helping establish the Congress of Racial Equality, a key organization in the U.S. civil rights movement.
-
D.
Charlie Ward
Charlie Ward is a former Florida State University quarterback who won the 1993 Heisman Trophy and later played professional basketball in the NBA.
-
E.
Charlie Sitton
Charlie Sitton is a former American college basketball standout best known for his All-American career at Oregon State University in the early 1980s.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.