Triple
T15193018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean Torrence |
E363067
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Torrence |
E666647
|
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: Torrence | Statement: [Dean Torrence, familyName, Torrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrence Context triple: [Dean Torrence, familyName, Torrence]
-
A.
Torrence
chosen
Torrence is a Scottish surname most notably associated with silent film and early Hollywood character actor Ernest Torrence.
-
B.
Torry
Torry is a surname most notably associated with American comedian and actor Joe Torry.
-
C.
Tucker
Tucker is the criminal defendant whose custodial interrogation and subsequent appeal led to the U.S. Supreme Court decision in Michigan v. Tucker, which clarified the scope of Miranda-related protections.
-
D.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
E.
Tucker
Tucker is a paranormal investigator character from the Insidious horror film series, known for his tech-based ghost-hunting work alongside his partner Specs.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067eb710819085211fd05d5fa5f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.