Triple
T17348166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pure |
E421738
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Rabid Pigs
"Rabid Pigs" is a track by the hardcore punk band Pure, known for its aggressive sound and raw energy.
|
E1264727
|
NE FINISHED |
How this triple was built (4 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: Rabid Pigs | Statement: [Pure, hasTrack, Rabid Pigs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rabid Pigs Context triple: [Pure, hasTrack, Rabid Pigs]
-
A.
Dead Pigs
Dead Pigs is a 2018 Chinese-American dark comedy film directed by Cathy Yan that interweaves the lives of several characters in rapidly modernizing Shanghai.
-
B.
Squealing Pig
Squealing Pig is a contemporary wine brand known for its approachable, fruit-driven wines and playful, irreverent branding.
-
C.
All Pigs Must Die
All Pigs Must Die is an American hardcore punk/metal band known for its aggressive sound and featuring members of prominent extreme music groups.
-
D.
Bleeding the Pigs
"Bleeding the Pigs" is a track by the American post-metal band Neurosis from their 2012 album "Honor Found in Decay."
-
E.
The Filthy Animals
The Filthy Animals were a popular late-1990s World Championship Wrestling (WCW) stable known for their edgy, streetwise image and high-flying, charismatic members.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rabid Pigs Triple: [Pure, hasTrack, Rabid Pigs]
Generated description
"Rabid Pigs" is a track by the hardcore punk band Pure, known for its aggressive sound and raw energy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rabid Pigs Target entity description: "Rabid Pigs" is a track by the hardcore punk band Pure, known for its aggressive sound and raw energy.
-
A.
Dead Pigs
Dead Pigs is a 2018 Chinese-American dark comedy film directed by Cathy Yan that interweaves the lives of several characters in rapidly modernizing Shanghai.
-
B.
Squealing Pig
Squealing Pig is a contemporary wine brand known for its approachable, fruit-driven wines and playful, irreverent branding.
-
C.
All Pigs Must Die
All Pigs Must Die is an American hardcore punk/metal band known for its aggressive sound and featuring members of prominent extreme music groups.
-
D.
Bleeding the Pigs
"Bleeding the Pigs" is a track by the American post-metal band Neurosis from their 2012 album "Honor Found in Decay."
-
E.
The Filthy Animals
The Filthy Animals were a popular late-1990s World Championship Wrestling (WCW) stable known for their edgy, streetwise image and high-flying, charismatic members.
- F. None of above. chosen
Provenance (5 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2a2ee48190976732e654a40053 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955658b88190bce3fb2b5738afc6 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a019b79d7148190abf4b41f0c84c62e |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c1b60f08190a6469602751e3471 |
completed | May 11, 2026, 9:06 a.m. |
Created at: April 10, 2026, 5:44 a.m.