Triple
T24299100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revenge |
E606042
|
entity |
| Predicate | hasPrimaryInstrumentFocus |
P155464
|
FINISHED |
| Object | bass guitar |
—
|
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: bass guitar | Statement: [Revenge, hasPrimaryInstrumentFocus, bass guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryInstrumentFocus Context triple: [Revenge, hasPrimaryInstrumentFocus, bass guitar]
-
A.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
B.
hasPrimaryFocusPeriod
Indicates that something is chiefly concerned with, or centered on, a particular period of time.
-
C.
hasPrimaryFocusRegion
Indicates that something is chiefly concerned with, centered on, or directed toward a particular geographic or spatial region.
-
D.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
E.
hasSecondaryFocus
Indicates that an entity has an additional, subordinate area of attention, concern, or specialization beyond its primary focus.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915d8ac881908d71ba529e30f434 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:09 a.m.