Triple
T6867378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Carlton |
E158441
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Timothy |
E614817
|
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: Timothy | Statement: [Timothy Carlton, givenName, Timothy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy Context triple: [Timothy Carlton, givenName, Timothy]
-
A.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
-
B.
Timothy
Timothy is a character known primarily as the adversary of Charly Baltimore in the action thriller film "The Long Kiss Goodnight."
-
C.
Timothy
Timothy is the given name of British actor Tim Pigott-Smith, known for his work in film, television, and theatre.
-
D.
Timothy
chosen
Timothy is a masculine given name of biblical origin that has been widely used in English-speaking countries.
-
E.
Timothy
Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a5ef848190b6b9a11a3fbdb384 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74292922c8190a0d3ee6f74ff672c |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:21 p.m.