Triple
T7769242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Segal |
E179027
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Segal |
E681544
|
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: Segal | Statement: [George Segal, familyName, Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segal Context triple: [George Segal, familyName, Segal]
-
A.
Segal
chosen
Segal is a common Ashkenazi Jewish surname of Hebrew origin, traditionally associated with priestly (Levite) lineage.
-
B.
Segall
Segall is a surname most notably associated with American garage rock and psychedelic musician Ty Segall.
-
C.
Eli Segal
Eli Segal was an American political strategist and nonprofit leader known for his senior roles in Democratic campaigns and for helping launch major national service initiatives like AmeriCorps.
-
D.
Sutivan
Sutivan is a small coastal town and tourist resort on the northwest coast of the Croatian island of Brač in the Adriatic Sea.
-
E.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.