Triple
T22892156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tad |
E568068
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Norman Scott |
—
|
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: Norman Scott | Statement: [Tad, hasMember, Norman Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Scott Context triple: [Tad, hasMember, Norman Scott]
-
A.
Norman Scott
chosen
Norman Scott is a musician best known as a member of the influential Seattle grunge band Skin Yard.
-
B.
Norman Scott
Norman Scott is a British former stable hand and model whose real-life affair with politician Jeremy Thorpe and the subsequent attempted murder plot were dramatized in the television series "A Very English Scandal."
-
C.
Norman Scott
Norman Scott was a highly decorated U.S. Navy rear admiral and Medal of Honor recipient renowned for his leadership in pivotal Pacific naval battles during World War II.
-
D.
Horatio Francis N. Scott
Horatio Francis N. Scott was the husband of British writer and PEN International co-founder Catherine Amy Dawson Scott.
-
E.
Leslie Marshall
Leslie Marshall is an American attorney and businesswoman best known as the wife of former Massachusetts governor William F. Weld.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc66dbc81909b31c068d7f2c531 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.