Triple
T22756305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Geisman |
E562852
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Geisman |
—
|
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: Geisman | Statement: [Eleanor Geisman, familyName, Geisman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geisman Context triple: [Eleanor Geisman, familyName, Geisman]
-
A.
Geisman
chosen
Geisman is the birth surname of American actress June Allyson, a popular film star of the 1940s and 1950s.
-
B.
Griese
Griese is a surname most prominently associated with Bob Griese, the Hall of Fame American football quarterback.
-
C.
Gadson
Gadson is a surname most notably associated with Gregory D. Gadson, a retired U.S. Army colonel, double amputee, motivational speaker, and actor.
-
D.
Elliger
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
-
E.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.