Triple
T6671645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo van Gogh |
E151743
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Theo |
E41209
|
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: Theo | Statement: [Theo van Gogh, givenName, Theo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo Context triple: [Theo van Gogh, givenName, 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.
Theodore
Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
-
C.
Théo
Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
-
D.
Teoh
Teoh is a romanized Chinese surname, commonly used as a variant spelling of "Zhang" in Southeast Asia.
-
E.
Ourthe
The Ourthe is a scenic river in southeastern Belgium that flows through the Ardennes region, known for its winding valleys, outdoor recreation, and picturesque towns.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0ca49f88190b9c8e0f641be0c3f |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef14b47c8190ac181f272025fb0d |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:03 p.m.