Triple
T23306065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo Fleury |
E590437
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Theo |
—
|
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: Theo | Statement: [Theo Fleury, nickname, Theo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo Context triple: [Theo Fleury, nickname, Theo]
-
A.
Theo
chosen
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.
-
B.
Teo
Teo is a Korean surname and given name whose spelling reflects a particular system of romanizing Korean characters.
-
C.
Theodore
Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
-
D.
Theodore
Theodore is a small village located in east-central Saskatchewan, Canada.
-
E.
Theodore
Theodore is a small rural town in Queensland, Australia, known for its agricultural activities and close-knit community within the Banana Shire region.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972737c08190bd011776564c3861 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.