Triple
T22724274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Massacre |
E561948
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object | Candy Shop |
—
|
NE NERFINISHED |
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: Candy Shop | Statement: [The Massacre, containsSingle, Candy Shop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candy Shop Context triple: [The Massacre, containsSingle, Candy Shop]
-
A.
Candy Shop
chosen
"Candy Shop" is a 2005 hip hop single by 50 Cent featuring Olivia, produced by Scott Storch, known for its seductive lyrics and catchy, club-oriented beat.
-
B.
Candy Says
"Candy Says" is a gentle, introspective song by The Velvet Underground, known for its delicate melody and lyrics exploring themes of identity and vulnerability.
-
C.
Sweet Candy
Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
-
D.
Penny Candy
"Penny Candy" is a memoir by Linda Gray Sexton that reflects on her life, family, and the legacy of her mother, poet Anne Sexton.
-
E.
Candy
Candy is a 2006 Australian romantic drama film about a destructive heroin-fueled relationship, starring Heath Ledger and Abbie Cornish and based on Luke Davies' semi-autobiographical novel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17928a21c8190a1b888754ba7808b |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.