Triple
T21308411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael R. Barratt |
E525262
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael R. Barratt |
—
|
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: Michael R. Barratt | Statement: [Michael R. Barratt, name, Michael R. Barratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael R. Barratt Context triple: [Michael R. Barratt, name, Michael R. Barratt]
-
A.
Michael R. Barratt
chosen
Michael R. Barratt is an American physician and NASA astronaut known for his long-duration stays aboard the International Space Station and contributions to space medicine.
-
B.
Brian G. Hutton
Brian G. Hutton was an American film director and actor best known for helming popular war and action films in the late 1960s and early 1970s.
-
C.
Andrew Barrer
Andrew Barrer is a screenwriter best known for co-writing the Marvel superhero film "Ant-Man and the Wasp."
-
D.
Michael W. Andrews
Michael W. Andrews is a film editor known for his work on animated feature films, including The SpongeBob Movie: Sponge on the Run.
-
E.
Michael J. Duthie
Michael J. Duthie is a publishing professional best known for serving as an editor of the periodical The Outpost.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa863688190a5e45248e31eec88 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:06 p.m.