Triple
T22539271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endre Szemerédi |
E557241
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Endre |
—
|
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: Endre | Statement: [Endre Szemerédi, givenName, Endre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Endre Context triple: [Endre Szemerédi, givenName, Endre]
-
A.
Endre
chosen
Endre is the Hungarian given name of film director André De Toth, known for his work in mid-20th-century cinema.
-
B.
Hendre
Hendre is a residential suburb within the community of Pontyclun in Rhondda Cynon Taf, South Wales.
-
C.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
-
D.
Finnentrop
Finnentrop is a municipality in western Germany known for its location in the Sauerland region of North Rhine-Westphalia and its mix of rural landscapes and industrial activity.
-
E.
Ekornes
Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f302cd4819098c97ca4fa96363e |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.