Triple
T1556918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G. K. Batchelor |
E33226
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Batchelor |
E30502
|
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: Batchelor | Statement: [G. K. Batchelor, familyName, Batchelor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batchelor Context triple: [G. K. Batchelor, familyName, Batchelor]
-
A.
Butler
Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
-
B.
Butler
Butler is a common English and Irish surname historically associated with nobility and service roles, borne by numerous notable figures in politics, law, and the arts.
-
C.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
-
D.
The Professor
The Professor is the mastermind strategist and enigmatic leader who orchestrates the meticulously planned heists in the Spanish series "Money Heist."
-
E.
George Batchelor
chosen
George Batchelor was a prominent Australian applied mathematician and fluid dynamicist known for his foundational contributions to turbulence theory and for founding the Journal of Fluid Mechanics.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908704d208190937af41c6454df4e |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad370e10248190b060a0209b979ef9 |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.