Triple
T8679264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Théo |
E205991
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Théo (without accent in some contexts) |
E205991
|
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: Théo (without accent in some contexts) | Statement: [Théo, hasVariant, Théo (without accent in some contexts)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Théo (without accent in some contexts) Context triple: [Théo, hasVariant, Théo (without accent in some contexts)]
-
A.
Théo
chosen
Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
-
B.
Théo Sarapo
Théo Sarapo was a French singer, actor, and hairdresser best known as Édith Piaf’s much younger second husband and musical partner.
-
C.
Theo
Theo is a given name, often used as a short form of Theodore or related names, that has become a popular standalone first name in many countries.
-
D.
Thibault
Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
-
E.
Théodore
Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f8fa948190a070e90d17b4ede2 |
completed | March 31, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a98ee881908d546e9a55217792 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.