Triple
T15358838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ty Segall |
E367234
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Segall |
E367234
|
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: Segall | Statement: [Ty Segall, familyName, Segall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segall Context triple: [Ty Segall, familyName, Segall]
-
A.
Segall
chosen
Segall is a surname most notably associated with American garage rock and psychedelic musician Ty Segall.
-
B.
Segal
Segal is a common Ashkenazi Jewish surname of Hebrew origin, traditionally associated with priestly (Levite) lineage.
-
C.
Seidenberg
Seidenberg is a German surname most notably associated with former professional ice hockey defenseman Dennis Seidenberg.
-
D.
Seulberg
Seulberg is a district of the town of Friedrichsdorf in the Hochtaunus region of Hesse, Germany.
-
E.
Sossick
Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.