Triple
T21277900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expedition 33 |
E524439
|
entity |
| Predicate | hasFlightEngineer |
P62512
|
FINISHED |
| Object | Kevin Ford |
—
|
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: Kevin Ford | Statement: [Expedition 33, hasFlightEngineer, Kevin Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Ford Context triple: [Expedition 33, hasFlightEngineer, Kevin Ford]
-
A.
Kevin Ford
Kevin Ford is known primarily as the husband of American actress, director, and producer Angela Bettis.
-
B.
Kevin A. Ford
chosen
Kevin A. Ford is a NASA astronaut and retired U.S. Air Force colonel who flew on multiple Space Shuttle and International Space Station missions.
-
C.
James Maynard
James Maynard is a British mathematician renowned for his groundbreaking work in analytic number theory, particularly on prime gaps and the distribution of prime numbers.
-
D.
Peter Sarnak
Peter Sarnak is a prominent mathematician known for his influential work in number theory, automorphic forms, and spectral theory.
-
E.
Zhang Yitang
Zhang Yitang is a Chinese-American mathematician renowned for his groundbreaking work on bounded gaps between prime numbers, which significantly advanced number theory.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73658f598819098a1192abfa40a12 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.