Triple
T23858909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are We Not Men? We Are Diva! |
E592386
|
entity |
| Predicate | hasHighEnergyArrangements |
P154215
|
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: [Are We Not Men? We Are Diva!, hasHighEnergyArrangements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighEnergyArrangements Context triple: [Are We Not Men? We Are Diva!, hasHighEnergyArrangements, true]
-
A.
hasAggressiveEnergy
Indicates that an entity exhibits or is characterized by intense, forceful, or confrontational energy or behavior toward others.
-
B.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
-
C.
hasArrangement
Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by another entity.
-
D.
frequentlyArrangedFor
Indicates that one entity regularly organizes, schedules, or sets up something on behalf of another entity.
-
E.
separateArrangementsFor
Indicates that distinct, independent arrangements or plans are made for one entity in relation to another.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98cad34819080baeb8f20f39741 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:12 p.m.