Triple
T16380295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Catton |
E397787
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Terry Benedict |
E279022
|
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: Terry Benedict | Statement: [Frank Catton, enemyOf, Terry Benedict]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Benedict Context triple: [Frank Catton, enemyOf, Terry Benedict]
-
A.
Terry Benedict
chosen
Terry Benedict is the wealthy, vengeful casino owner and primary antagonist in the Ocean’s film series, known for his ruthless pursuit of Danny Ocean and his crew.
-
B.
Terry Burke
Terry Burke is an academic who studied under the evolutionary biologist and geneticist Godfrey Hewitt.
-
C.
Terry Tumey
Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
-
D.
Terry Matterson
Terry Matterson is a former Australian rugby league footballer and coach best known for his successful playing career in the 1980s and 1990s, including stints with the Brisbane Broncos and Castleford Tigers.
-
E.
Terry McCaleb
Terry McCaleb is a retired FBI profiler and heart transplant recipient who becomes an unlikely investigator in Michael Connelly’s crime novel "Blood Work."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319db5b648190a8fca23518a1fb39 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2156008190a079c9f1b721d40a |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:08 a.m.