Triple
T16909638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Soldiers |
E410160
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Darren Morfitt |
E398492
|
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: Darren Morfitt | Statement: [Dog Soldiers, hasCastMember, Darren Morfitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darren Morfitt Context triple: [Dog Soldiers, hasCastMember, Darren Morfitt]
-
A.
Darren Morfitt
chosen
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
-
B.
Darren Burrows
Darren Burrows is an American actor best known for his role as Ed Chigliak on the television series "Northern Exposure."
-
C.
Darren Smyth
Darren Smyth is a European patent attorney and commentator known for his work in intellectual property law and contributions to patent-related scholarship and discussion.
-
D.
Darren Emerson
Darren Emerson is an English DJ and electronic music producer best known for his influential work in the 1990s progressive house and techno scenes.
-
E.
Darren Craig
Darren Craig is a music video director known for creating visually striking videos for prominent pop and hip-hop artists.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3bdc3081908a9b4f6e63405348 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232b75508190bcceaf0d338f8d02 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:30 a.m.