Triple
T1842665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo |
E41209
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Téo |
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: Téo | Statement: [Theo, hasVariant, Téo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Téo Context triple: [Theo, hasVariant, Téo]
-
A.
Théo
chosen
Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
-
B.
Tuffy
Tuffy is the live Tamaskan dog who serves as the official canine mascot for North Carolina State University’s athletic teams.
-
C.
Cobi
Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
-
D.
Teddy
Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
-
E.
Tejo
Tejo is the Portuguese name for the Tagus River, the longest river on the Iberian Peninsula that flows through Spain and Portugal into the Atlantic Ocean.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb03e7a7481909c5b902034390ef1 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf48e3048190a79824fd92e0079f |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:33 p.m.