Triple
T16844019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Grace |
E409488
|
entity |
| Predicate | protagonistOf |
P9202
|
FINISHED |
| Object | Want You Dead |
E409481
|
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: Want You Dead | Statement: [Roy Grace, protagonistOf, Want You Dead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Want You Dead Context triple: [Roy Grace, protagonistOf, Want You Dead]
-
A.
Want You Dead
chosen
"Want You Dead" is a crime thriller novel by British author Peter James, featuring Detective Roy Grace as he investigates a deadly case of obsessive online stalking.
-
B.
Need You Dead
Need You Dead is a crime thriller novel in the Roy Grace detective series by British author Peter James.
-
C.
Wanted You
"Wanted You" is a popular R&B-influenced hip-hop track by rapper Nav that helped raise his profile in the late 2010s.
-
D.
Wait For You To Die
"Wait For You To Die" is a song featured on the album "So Help Me God!" by American rapper and producer Kanye West.
-
E.
Day You Die
"Day You Die" is a popular hip-hop track by Nigerian rapper Naeto C, recognized for its catchy production and introspective lyrics.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3533a9481909730571e6f758cbe |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc366bc819084406ee88ddffe44 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:24 a.m.