Triple
T11338125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Shear |
E268523
|
entity |
| Predicate | participatedIn |
P149
|
FINISHED |
| Object | Dead Pigs |
E919865
|
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: Dead Pigs | Statement: [Matthew Shear, participatedIn, Dead Pigs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dead Pigs Context triple: [Matthew Shear, participatedIn, Dead Pigs]
-
A.
Dead Pigs
chosen
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.
Pig Earth
Pig Earth is a collection of interlinked stories and essays by John Berger that portrays the lives, struggles, and culture of French peasant farmers.
-
C.
Looking Good Dead
Looking Good Dead is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a brutal murder linked to a sinister online broadcast.
-
D.
One Pig
One Pig is an experimental concept album by Matthew Herbert that uses sounds recorded throughout the life cycle of a single pig to explore themes of consumption, ethics, and industrial food production.
-
E.
Pigpile
Pigpile is a live album by the American noise rock band Big Black, capturing one of their final performances with raw, abrasive intensity.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55645d8bc8190b338c05ee382d5fc |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.