Triple
T32759951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Feet Tall |
E837728
|
entity |
| Predicate | hasAnthemicFestivalSound |
P147620
|
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: [Ten Feet Tall, hasAnthemicFestivalSound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnthemicFestivalSound Context triple: [Ten Feet Tall, hasAnthemicFestivalSound, true]
-
A.
hasFanChantPotential
chosen
Indicates that something (such as a song, phrase, or performance element) is well-suited to be adopted and enthusiastically chanted by a crowd or fanbase.
-
B.
hasEnergeticVocals
Indicates that the subject performs vocals characterized by high energy, intensity, or liveliness.
-
C.
hasEuphoricVocals
Indicates that the subject features or produces vocals characterized by intense happiness, excitement, or uplifting emotional expression.
-
D.
hasFestivalGenre
Indicates that a festival is associated with or categorized under a particular genre.
-
E.
hasChant
Indicates that an entity is associated with or characterized by a particular chant.
- F. None of above.
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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 1, 2026, 1:13 a.m.