Triple
T16500046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Territorial Pissings |
E400776
|
entity |
| Predicate | hasIntro |
P123788
|
FINISHED |
| Object | Krist Novoselic singing a line from Get Together |
—
|
LITERAL 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: Krist Novoselic singing a line from Get Together | Statement: [Territorial Pissings, hasIntro, Krist Novoselic singing a line from Get Together]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntro Context triple: [Territorial Pissings, hasIntro, Krist Novoselic singing a line from Get Together]
-
A.
hasIntroduction
Indicates that one entity includes or provides an introductory section, part, or presentation for another entity.
-
B.
hasSpokenWordIntro
Indicates that an entity includes or features an introductory segment performed in spoken word form.
-
C.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
D.
hasGuitarIntro
Indicates that a musical piece begins with an introductory section prominently featuring a guitar.
-
E.
hasPianoIntroBy
Indicates that something (typically a musical work) features an introductory section played on piano that is performed or created by a specified agent.
- F. None of above. chosen
Provenance (4 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e4ddc88819081fedb726add3e96 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.