Triple
T11380263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-92 |
E269574
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Brian Duffy |
E474148
|
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: Brian Duffy | Statement: [STS-92, commander, Brian Duffy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Duffy Context triple: [STS-92, commander, Brian Duffy]
-
A.
Brian Duffy
chosen
Brian Duffy is a former NASA astronaut and U.S. Air Force colonel who flew on four Space Shuttle missions in the 1990s.
-
B.
Robert Duffy
Robert Duffy is a film editor known for his work on visually distinctive and stylistically ambitious movies, including the 2006 fantasy film "The Fall."
-
C.
Brian Foley
Brian Foley is a personal name shared by multiple notable individuals across fields such as sports, politics, and academia.
-
D.
Ed McHugh
Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
-
E.
David McHugh
David McHugh is an American composer best known for his film scores, including his work on the romantic comedy-drama "Mystic Pizza."
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee864bf89081909fa336393e59f073 |
completed | April 26, 2026, 9:40 p.m. |
Created at: April 8, 2026, 9:34 p.m.