Triple
T8854745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry A. Gampel |
E210726
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gampel |
E474937
|
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: Gampel | Statement: [Harry A. Gampel, familyName, Gampel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gampel Context triple: [Harry A. Gampel, familyName, Gampel]
-
A.
Gampel
chosen
Gampel is a municipality in the canton of Valais in southwestern Switzerland, known for its industrial presence and Alpine setting.
-
B.
Ville Haute
Ville Haute is the historic city-center district of Luxembourg City, known for its medieval fortifications, government buildings, and main shopping streets.
-
C.
Strouse
Strouse is a surname most notably associated with American composer Charles Strouse, known for his work in musical theatre and film.
-
D.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
E.
Eastland
Eastland is a small city in central Texas that serves as the county seat of Eastland County and a regional hub for legal and civic affairs.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c6dce88190b175698b191fb89b |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa09557dc81908b5690bf5c392528 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:49 p.m.