Triple
T22724269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Massacre |
E561948
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Disco D |
—
|
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: Disco D | Statement: [The Massacre, producer, Disco D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disco D Context triple: [The Massacre, producer, Disco D]
-
A.
Disco D
chosen
Disco D was an American record producer and DJ known for his innovative work in ghettotech and hip-hop, including collaborations with major artists in the early 2000s.
-
B.
Disco Club
"Disco Club" is a song featured on the album "Monkey Business," likely characterized by dance-oriented, disco-influenced music.
-
C.
Disco Dan
Disco Dan is the nickname of Dan Bylsma, a Stanley Cup–winning former NHL head coach best known for his tenure with the Pittsburgh Penguins.
-
D.
Disco Donna
Disco Donna is the vibrant, younger incarnation of singer Donna Summer portrayed in the jukebox musical "Summer: The Donna Summer Musical," representing her early disco-era rise to fame.
-
E.
DiscoVision
DiscoVision was the original brand name for the LaserDisc optical videodisc format introduced in the late 1970s.
- 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.