Triple
T17698025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Chatwin |
E441222
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chatwin |
—
|
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: Chatwin | Statement: [Justin Chatwin, familyName, Chatwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chatwin Context triple: [Justin Chatwin, familyName, Chatwin]
-
A.
Chatwin
chosen
Chatwin is a surname most notably associated with Bruce Chatwin, the British travel writer and novelist.
-
B.
Botley
Botley is a historic village and civil parish in Hampshire, England, known for its rural character and location near the River Hamble.
-
C.
Botley
Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
-
D.
Mitsuku
Mitsuku is an award-winning conversational chatbot renowned for its human-like dialogue and multiple victories in Turing test-style competitions.
-
E.
Cortana
Cortana is an advanced artificial intelligence from the Halo video game series who serves as a key companion and strategist to the Master Chief within the United Nations Space Command.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47158be9c8190bbf4e5162ff74ad2 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.