Triple
T9372269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Albert/Admiral Halsey |
E225557
|
entity |
| Predicate | hasBrassArrangement |
P88204
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Uncle Albert/Admiral Halsey, hasBrassArrangement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBrassArrangement Context triple: [Uncle Albert/Admiral Halsey, hasBrassArrangement, true]
-
A.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
B.
orchestralArrangement
Indicates that one musical work is arranged or adapted specifically for performance by an orchestra.
-
C.
hasOrchestralFeature
Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
-
D.
hasChoralArrangement
Indicates that one entity is a choral arrangement version or setting of another entity (typically an original musical work).
-
E.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50852a388190be936df1382216bc |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:43 p.m.