Triple
T10518456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Monk |
E248099
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Art |
E124098
|
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: Art | Statement: [Art Monk, nickname, Art]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Context triple: [Art Monk, nickname, Art]
-
A.
Art
chosen
Art is a common masculine given name, often used as a short form of names like Arthur or Arthurian variants.
-
B.
ART
ART is the managed runtime environment used by the Android operating system to execute applications, providing ahead-of-time and just-in-time compilation, garbage collection, and other core execution services.
-
C.
ART
ART is the commonly used abbreviation for the Artland Dragons, a professional basketball team based in Quakenbrück, Germany.
-
D.
ART
ART is the bus rapid transit system serving Albuquerque, New Mexico, designed to provide faster and more efficient public transportation along key corridors in the city.
-
E.
ART
ART is a famous pop art sculpture by Robert Indiana that features the word "ART" in bold, stacked letters, echoing the style of his iconic LOVE works.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dd29b48190aa5b170e2558545c |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e063e948190b2f7cbae05d9ea61 |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:28 p.m.