Triple
T13745438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slaughterhouse |
E330197
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Mr. Porter |
E68660
|
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: Mr. Porter | Statement: [Slaughterhouse, associatedAct, Mr. Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Porter Context triple: [Slaughterhouse, associatedAct, Mr. Porter]
-
A.
Mr. Porter
chosen
Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
-
B.
Mr. Peebles
Mr. Peebles is the pet shop owner in the classic Hanna-Barbera cartoon "Magilla Gorilla," known for repeatedly trying to sell the lovable gorilla Magilla.
-
C.
Mr. Hill
Mr. Hill is the formal title used to address Marion Hill, likely in a professional or respectful social context.
-
D.
Mr. Wilson
Mr. Wilson is the grumpy, long-suffering neighbor and frequent victim of Dennis’s mischief in the 1993 family comedy film "Dennis the Menace."
-
E.
Mr. Fletcher
Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a851f68c81908b24bc5275a58ad3 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.