Triple
T21875291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Forman |
E540122
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Forman |
—
|
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: Forman | Statement: [Tom Forman, familyName, Forman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forman Context triple: [Tom Forman, familyName, Forman]
-
A.
Forman
chosen
Forman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and academia.
-
B.
Formon
Formon is an alternative spelling of the surname Forman, which is associated with various individuals and families of English-speaking origin.
-
C.
Fauset
Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
-
D.
Ferden
Ferden is a small alpine municipality in the canton of Valais in southwestern Switzerland, known for its mountainous scenery and traditional Swiss village character.
-
E.
Farr
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.