Triple
T13049454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard |
E327411
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Gégé |
E18182
|
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: Gégé | Statement: [Gérard, hasDiminutive, Gégé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gégé Context triple: [Gérard, hasDiminutive, Gégé]
-
A.
Gegechkori
Gegechkori is the former name of the town now known as Martvili in western Georgia.
-
B.
Gevaot
Gevaot is an Israeli settlement in the Gush Etzion bloc of the West Bank, known for its strategic location and political significance in the Israeli–Palestinian conflict.
-
C.
Georges
chosen
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
-
D.
Guilly
Guilly is a small commune in the Loiret department of north-central France.
-
E.
Gérson
Gérson is a legendary Brazilian midfielder renowned for orchestrating play in Brazil’s iconic 1970 FIFA World Cup–winning team.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbda9b548190a10a4835b2c75fdc |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:57 p.m.