Triple
T16843865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love You Dead |
E409483
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Need You Dead |
E411811
|
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: Need You Dead | Statement: [Love You Dead, followedBy, Need You Dead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Need You Dead Context triple: [Love You Dead, followedBy, Need You Dead]
-
A.
Need You Dead
chosen
Need You Dead is a crime thriller novel in the Roy Grace detective series by British author Peter James.
-
B.
Want You Dead
"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.
-
C.
Kill You
"Kill You" is a controversial and aggressive rap song by Eminem from his acclaimed album "The Marshall Mathers LP."
-
D.
Somebody's Gotta Die
"Somebody's Gotta Die" is a dark, narrative-driven hip hop track by The Notorious B.I.G. that tells a cinematic revenge story.
-
E.
Dead and Gone
"Dead and Gone" is a hit hip-hop/R&B single by T.I. featuring Justin Timberlake, known for its reflective lyrics about violence, loss, and personal transformation.
- 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_6a00c79e86ac8190b89c4ebb05250b4f |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:24 a.m.