Triple
T22791885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Drell |
E564132
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Drell |
—
|
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: Drell | Statement: [Sidney Drell, familyName, Drell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drell Context triple: [Sidney Drell, familyName, Drell]
-
A.
Drell
chosen
Drell is a surname most notably associated with Sidney Drell, an influential American theoretical physicist and arms control expert.
-
B.
Durek
Durek is a self-proclaimed shaman and spiritual advisor best known for his relationship with Princess Märtha Louise of Norway and his controversial wellness practices.
-
C.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
D.
Derrel
Derrel is the given first name of former Major League Baseball shortstop and manager Bud Harrelson.
-
E.
Daron
Daron is a masculine given name, often used in English-speaking countries and sometimes associated with modern or creative name variants.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd5778c81909a18317ff98e341c |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.