Triple
T9858604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue I |
E239649
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Blue III |
E239651
|
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: Blue III | Statement: [Blue I, followedBy, Blue III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue III Context triple: [Blue I, followedBy, Blue III]
-
A.
Blue III
chosen
Blue III is an abstract painting by Spanish artist Joan Miró, known for its bold use of color and biomorphic forms characteristic of his mature surrealist style.
-
B.
Blue II
Blue II is a 1961 abstract painting by Spanish artist Joan Miró, renowned for its minimalist composition of bold blue fields and sparse, gestural forms.
-
C.
Blue Pearl
Blue Pearl is a British electronic dance music duo best known for their early 1990s club hit "Naked in the Rain."
-
D.
Blue
Blue is the internal codename Microsoft used during development of the Windows 8.1 operating system update.
-
E.
Blue
Blue is the entry-level tier in Uber's driver rewards program, offering basic benefits and recognition for new or less frequent drivers.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb399bd8081908281d1735cc3909f |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e43b2de881909e00f6701d1c7b54 |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:35 p.m.