Triple
T18181588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Michael Marshall |
E435297
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Marshall |
—
|
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 Marshall | Statement: [Sir Michael Marshall, name, Michael Marshall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Marshall Context triple: [Sir Michael Marshall, name, Michael Marshall]
-
A.
Michael Marshall
chosen
Michael Marshall is an Anglican clergyman who served as the Bishop of Woolwich in the Church of England.
-
B.
Alan Marshall
Alan Marshall is a British film producer known for his work on notable movies including the musical gangster film "Bugsy Malone."
-
C.
Garth Fisher
Garth Fisher is a prominent American plastic surgeon best known for his appearances on the reality TV show "Extreme Makeover."
-
D.
Anthony Gorry
Anthony Gorry is a music producer known for his work on projects such as No Doubt’s album "Push and Shove."
-
E.
Michael Morrow
Michael Morrow is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Morrow.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffb3bc88190a627be9c444d5c7d |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.