Triple
T9794054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Frazer |
E237674
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dan Frazer |
E237674
|
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: Dan Frazer | Statement: [Dan Frazer, name, Dan Frazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Frazer Context triple: [Dan Frazer, name, Dan Frazer]
-
A.
Dan Frazer
chosen
Dan Frazer was an American character actor best known for his role as Captain Frank McNeil on the television series "Kojak."
-
B.
Ken Fradley
Ken Fradley is a musician best known as a member of the new wave band Tom Tom Club.
-
C.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
D.
Kevin Fagan
Kevin Fagan is the American cartoonist best known as the creator of the long-running comic strip "Drabble."
-
E.
Matthew N. Fraser
Matthew N. Fraser is the high school student whose sexually suggestive speech at a school assembly led to the landmark U.S. Supreme Court case Bethel School District No. 403 v. Fraser, which clarified the limits of student free speech in public schools.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e40ba788819084c3c01518a72e4e |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:28 p.m.