Triple
T2277313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benioff |
E51200
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Hugo Benioff |
E250992
|
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: Hugo Benioff | Statement: [Benioff, hasNotableBearer, Hugo Benioff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Benioff Context triple: [Benioff, hasNotableBearer, Hugo Benioff]
-
A.
Hugo Benioff
chosen
Hugo Benioff was an American seismologist and physicist best known for his work on deep-focus earthquakes and the identification of what are now called Benioff zones in subduction regions.
-
B.
Benioff
Benioff is a surname most prominently associated with Marc Benioff, the billionaire co-founder and CEO of Salesforce.
-
C.
Carlye Adler
Carlye Adler is a journalist and author known for co-writing business and leadership books with prominent entrepreneurs and executives.
-
D.
J. Tuzo Wilson
J. Tuzo Wilson was a pioneering Canadian geophysicist whose work on plate tectonics and transform faults fundamentally reshaped modern understanding of Earth's dynamic crust.
-
E.
Michael P. Brenner
Michael P. Brenner is an American applied mathematician and physicist known for his influential work in fluid dynamics and complex systems.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc1ee22988190b7fa28b0b62e8668 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f0ed1b881909ba3c7f9fea50267 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.