Triple
T14489542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porno for Pyros |
E359325
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Flea |
E378410
|
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: Flea | Statement: [Porno for Pyros, hasPart, Flea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flea Context triple: [Porno for Pyros, hasPart, Flea]
-
A.
Flea
chosen
Flea is an American musician and actor best known as the bassist and co-founder of the rock band Red Hot Chili Peppers.
-
B.
Fleck
Fleck is the surname of Ludwik Fleck, a Polish microbiologist and philosopher of science known for his pioneering work on the sociology of scientific knowledge.
-
C.
Skitters
Skitters are an insectoid alien species that serve as primary ground troops and antagonists in the science fiction television series "Falling Skies."
-
D.
Blow Fly
Blow Fly is a crime novel by Patricia Cornwell featuring medical examiner Dr. Kay Scarpetta as she investigates a complex web of murder and forensic evidence.
-
E.
Blepyrus
Blepyrus is a comic character in Aristophanes’ play *Ecclesiazusae*, typically portrayed as a bemused Athenian husband caught up in the play’s satirical treatment of gender and political reform.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d90f86081908b25f3eb90042c73 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.