Triple
T17164287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Nimmo |
E416563
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Derek |
E80773
|
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: Derek | Statement: [Derek Nimmo, hasGivenName, Derek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Context triple: [Derek Nimmo, hasGivenName, Derek]
-
A.
Derek
chosen
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
B.
Derek
Derek is a British comedy-drama television series created by Ricky Gervais, centered on a kind-hearted care home worker with learning difficulties.
-
C.
Derek
Derek is a fictional character in Simon Gray's stage play "Quartermaine's Terms," which explores the lives and relationships of teachers at a 1960s Cambridge language school.
-
D.
Derek Charles
Derek Charles is the successful corporate executive whose life unravels when he becomes the target of a coworker’s dangerous obsession in the 2009 thriller film "Obsessed."
-
E.
Derek Bond
Derek Bond was a British actor known for his work in mid-20th-century film, television, and theatre.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f913c84481908bb5da8bcc6a2e62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483b827081909619ea691c4c0e1e |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.