Triple
T11430383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Telagh |
E270862
|
entity |
| Predicate | isBirthplaceOf |
P1
|
FINISHED |
| Object | Alain Mimoun |
E55061
|
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: Alain Mimoun | Statement: [El Telagh, isBirthplaceOf, Alain Mimoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alain Mimoun Context triple: [El Telagh, isBirthplaceOf, Alain Mimoun]
-
A.
Alain Mimoun
chosen
Alain Mimoun was a French long-distance runner best known for winning the marathon gold medal at the 1956 Melbourne Olympics after years of rivalry with Emil Zátopek.
-
B.
Alain Lamassoure
Alain Lamassoure is a French politician and long-serving Member of the European Parliament known for his work on European integration and budgetary affairs.
-
C.
Jean-Luc Ourgaud
Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
-
D.
Michel Pinseau
Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
-
E.
Pierre Legoupil
Pierre Legoupil was a French naval officer or explorer after whom Cape Legoupil in Antarctica was named, reflecting his role in early polar exploration.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c1bfb881909720c74fe0fa837f |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f1f80648190a4a0e8260ac95194 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 8, 2026, 9:35 p.m.