Triple
T8295962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marina Wheeler |
E194217
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marina Wheeler |
E194217
|
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: Marina Wheeler | Statement: [Marina Wheeler, name, Marina Wheeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Wheeler Context triple: [Marina Wheeler, name, Marina Wheeler]
-
A.
Marina Wheeler
chosen
Marina Wheeler is a British barrister and writer, known for her work in public law and for her former marriage to politician Boris Johnson.
-
B.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
C.
Erica Wheeler
Erica Wheeler is an American professional basketball guard in the WNBA known for her standout playmaking and scoring, highlighted by her historic MVP performance in the league’s All-Star Game.
-
D.
April Wheeler
April Wheeler is a disillusioned 1950s suburban housewife whose frustrated ambitions and deteriorating marriage drive the central tragedy of Richard Yates’s novel "Revolutionary Road."
-
E.
Anne Wheeler
Anne Wheeler is a fictional trapeze artist and acrobat featured in the musical film "The Greatest Showman."
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df73d4c81909ad9cf0786eb5a20 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68a3258481908fe04fed1d00c9ba |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.