Triple
T5752113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Ronson |
E126876
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Record Collection |
E198259
|
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: Record Collection | Statement: [Mark Ronson, notableWork, Record Collection]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Record Collection Context triple: [Mark Ronson, notableWork, Record Collection]
-
A.
Record Collection
chosen
Record Collection is an independent record label known for releasing music by a diverse roster of alternative and rock artists.
-
B.
The Collection
The Collection is a one-act play by British dramatist Harold Pinter that explores ambiguity, jealousy, and power dynamics between two couples.
-
C.
Music Library
The Music Library is a specialized branch of the Stanford University Libraries that collects, preserves, and provides access to music scores, recordings, and scholarly resources in music and related fields.
-
D.
Music Library
The Music Library at Yale University is a specialized academic library that supports music study and research with extensive scores, recordings, and scholarly resources.
-
E.
collections
collections is a Python standard library module that provides specialized container datatypes such as namedtuple, deque, Counter, and OrderedDict to supplement the built-in container types.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.