Triple
T10322379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Dominik |
E242665
|
entity |
| Predicate | subjectOfFilm |
P22751
|
FINISHED |
| Object | Mark "Chopper" Read |
E367486
|
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: Mark "Chopper" Read | Statement: [Andrew Dominik, subjectOfFilm, Mark "Chopper" Read]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark "Chopper" Read Context triple: [Andrew Dominik, subjectOfFilm, Mark "Chopper" Read]
-
A.
Mark "Chopper" Read
chosen
Mark "Chopper" Read was a notorious Australian criminal and author whose violent exploits and darkly comic persona made him a prominent figure in Australian crime folklore.
-
B.
Derek Nurse
Derek Nurse is a linguist renowned for his influential research on Bantu languages and African historical linguistics.
-
C.
Derek Nurse
Derek Nurse is a fictional Canadian hockey player and one of the main comedic characters on the television series "Letterkenny."
-
D.
Bullet Rogan
Bullet Rogan was a legendary two-way star of Negro league baseball, renowned as both a dominant pitcher and powerful hitter in the early 20th century.
-
E.
Tangi Miller
Tangi Miller is an American actress best known for her role as Elena Tyler on the television drama series "Felicity."
- 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_69d71d9b2ad881909f3076f8f9d1b1d3 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.