Triple
T15838441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ashik |
E384040
|
entity |
| Predicate | accompaniesWith |
P3100
|
FINISHED |
| Object | long-necked lute |
—
|
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: long-necked lute | Statement: [ashik, accompaniesWith, long-necked lute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accompaniesWith Context triple: [ashik, accompaniesWith, long-necked lute]
-
A.
accompaniesTo
Indicates that one entity goes along with or escorts another entity to a specific destination or event.
-
B.
usuallyAccompaniedBy
Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
-
C.
oftenAccompaniedBy
chosen
Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
-
D.
mayBeAccompaniedBy
Indicates that one entity can optionally be present together with or alongside another entity.
-
E.
accompanimentType
Indicates the specific manner or style in which one entity accompanies or supports another (e.g., musically, contextually, or functionally).
- F. None of above.
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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e4fa24819086a1a226082ac2d3 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.