Triple
T6561410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodman–Martínez–Thompson correlation |
E153789
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Joseph Goodman |
E678289
|
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: Joseph Goodman | Statement: [Goodman–Martínez–Thompson correlation, developedBy, Joseph Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Goodman Context triple: [Goodman–Martínez–Thompson correlation, developedBy, Joseph Goodman]
-
A.
Joseph Goodman
chosen
Joseph Goodman was a Mayanist scholar known for his pioneering work in correlating the Maya and Gregorian calendars.
-
B.
Edwin Goodman
Edwin Goodman was an American businessman best known as the co-founder of the luxury department store Bergdorf Goodman in New York City.
-
C.
Henry Nelson Goodman
Henry Nelson Goodman was an influential 20th-century American philosopher best known for his work on nominalism, the problem of induction, and the philosophy of art and symbols.
-
D.
Clarence Fahnestock
Clarence Fahnestock was a New York physician and outdoorsman whose legacy is commemorated by the state park that bears his name.
-
E.
Edwin Blashfield
Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a4282ac8190aa641d466763b786 |
completed | March 29, 2026, 3:19 a.m. |
Created at: March 27, 2026, 1:52 p.m.