Triple
T22429930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dine |
E554470
|
entity |
| Predicate | academicAdvisor |
P167
|
FINISHED |
| Object | Curtis Callan |
—
|
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: Curtis Callan | Statement: [Michael Dine, academicAdvisor, Curtis Callan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curtis Callan Context triple: [Michael Dine, academicAdvisor, Curtis Callan]
-
A.
Curtis Callan
chosen
Curtis Callan is an American theoretical physicist known for his influential work in quantum field theory, string theory, and the renormalization group.
-
B.
Scott Callan
Scott Callan is the son of American actress and author K Callan.
-
C.
Anthony Call
Anthony Call is an American actor best known for his television work, including guest appearances on classic series such as Star Trek.
-
D.
Kevin Callis
Kevin Callis is a fictional character from the television series "Lost," known primarily as the ex-husband of main character Kate Austen.
-
E.
Steve Callaghan
Steve Callaghan is an American television writer and producer best known for his long-running work on the animated series Family Guy.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a311b148190bdb752f3f067bb3f |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.