Triple
T15378067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. Inspired |
E367720
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Death Do Us Part |
E1152767
|
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: Death Do Us Part | Statement: [B. Inspired, hasSingle, Death Do Us Part]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Death Do Us Part Context triple: [B. Inspired, hasSingle, Death Do Us Part]
-
A.
Death Do Us Part
chosen
"Death Do Us Part" is a song featured on the album *B. Inspired* by British rapper Bugzy Malone.
-
B.
Dead Man's Party
"Dead Man's Party" is a 1985 new wave rock song and album by Oingo Boingo, known for its darkly humorous lyrics and enduring popularity, especially around Halloween.
-
C.
Stop, You're Killing Me
"Stop, You're Killing Me" is a novel by American author James Leo Herlihy, best known for its darkly comic exploration of troubled characters and mid-20th-century American life.
-
D.
Dead to Me
"Dead to Me" is a moody, synth-driven breakup song by Colombian-American singer Kali Uchis that showcases her distinctive blend of retro soul, pop, and R&B.
-
E.
Dead to Me
Dead to Me is a dark comedy-drama television series centered on the unlikely friendship between two grieving women, known for its sharp humor, emotional depth, and twist-filled storytelling.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e6044488190b0499db109f7f821 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1347c8448190aa1088d66bca2722 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.