Triple
T18926087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Logan |
E462973
|
entity |
| Predicate | predecessorAsPresident |
P10457
|
FINISHED |
| Object | John Keeler |
—
|
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: John Keeler | Statement: [Charles Logan, predecessorAsPresident, John Keeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Keeler Context triple: [Charles Logan, predecessorAsPresident, John Keeler]
-
A.
John Keeler
chosen
John Keeler is a fictional U.S. President in the television series "24," succeeding David Palmer in the show's political storyline.
-
B.
John McKee
John McKee is a New Zealand rugby union coach best known for leading the Fiji national team, including during the 2015 Rugby World Cup.
-
C.
John Ketcham
John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
-
D.
Kenneth Biller
Kenneth Biller is an American television writer and producer best known for his work on series such as "Star Trek: Voyager" and the anthology drama "Genius."
-
E.
George Keister
George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.