Triple
T18181595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Michael Marshall |
E435297
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Marshall Group |
—
|
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: Marshall Group | Statement: [Sir Michael Marshall, employer, Marshall Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshall Group Context triple: [Sir Michael Marshall, employer, Marshall Group]
-
A.
Marshall Group
chosen
Marshall Group is a British aerospace and defense company based in Cambridge, known for its aviation services, engineering, and property businesses.
-
B.
Bell-Mason Group
Bell-Mason Group is a consulting and advisory firm best known for developing the Bell-Mason Diagnostic, a framework for assessing and guiding the growth of technology startups and ventures.
-
C.
Wilson Group
The Wilson Group is a cluster of galaxies in the constellation of Centaurus that includes Mount Wilson as one of its notable members.
-
D.
West Group
West Group was a major American legal publishing company best known for producing comprehensive case law reporters and legal research materials used by lawyers and courts.
-
E.
The Walsh Group
The Walsh Group is a major U.S.-based construction and general contracting firm known for large-scale infrastructure, building, and transportation projects.
- 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.