Triple
T20775297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guttmann |
E511338
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Goodman |
—
|
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: Goodman | Statement: [Guttmann, hasVariant, Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodman Context triple: [Guttmann, hasVariant, Goodman]
-
A.
Goodman
chosen
Goodman is a common English-language surname borne by numerous notable individuals across fields such as philosophy, arts, and entertainment.
-
B.
Sherwin
Sherwin is a surname most notably associated with Martin J. Sherwin, an American historian known for his work on nuclear history and the life of J. Robert Oppenheimer.
-
C.
Wyman-Gordon
Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
-
D.
Rumbeck
Rumbeck is a village and district within the city of Arnsberg in the German state of North Rhine-Westphalia.
-
E.
J.F. Shea Company
J.F. Shea Company is a major American construction and engineering firm known for its role in landmark infrastructure projects such as the Hoover Dam.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26b06ac81909aef3b0a0ad79a33 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.