Triple
T8666829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Bond |
E205696
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Derek Bond |
E205696
|
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 Bond | Statement: [Derek Bond, name, Derek Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Bond Context triple: [Derek Bond, name, Derek Bond]
-
A.
Derek Bond
chosen
Derek Bond was a British actor known for his work in mid-20th-century film, television, and theatre.
-
B.
Derek Forbes
Derek Forbes is a Scottish bass guitarist best known for his influential work with the rock band Simple Minds during their early, critically acclaimed years.
-
C.
Derek Austin
Derek Austin is a British information scientist and librarian best known for his work in classification theory and contributions to the development of library and information retrieval systems.
-
D.
Derek Bryceson
Derek Bryceson was a British-born Tanzanian politician and conservationist who served as director of Tanzania’s national parks and played a key role in supporting Jane Goodall’s chimpanzee research.
-
E.
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."
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1592788190a882fb7218f95807 |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:31 p.m.