Triple
T11988387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc McClure |
E285341
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marc McClure |
E285341
|
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: Marc McClure | Statement: [Marc McClure, name, Marc McClure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc McClure Context triple: [Marc McClure, name, Marc McClure]
-
A.
Marc McClure
chosen
Marc McClure is an American actor best known for playing Jimmy Olsen in the Superman film series and Dave McFly in the Back to the Future trilogy.
-
B.
Anthony McHenry
Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
-
C.
Ken McClure
Ken McClure is an American politician who serves as the mayor of Springfield, Missouri, overseeing the city's local government and community initiatives.
-
D.
Dwight McClusky
Dwight McClusky is a brash, sensationalist television journalist and talk-show host in the satirical crime film "Natural Born Killers."
-
E.
Curt Menefee
Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63edbcd288190b491a16f2bf8fc62 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:46 p.m.