Triple
T8059336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Army |
E188079
|
entity |
| Predicate | fanChantLanguage |
P41747
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Yellow Army, fanChantLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanChantLanguage Context triple: [Yellow Army, fanChantLanguage, English]
-
A.
languageOfChant
chosen
Indicates the language in which a chant is performed or expressed.
-
B.
fanChant
Indicates a relationship where a group of fans collectively chant or vocalize in support of, or in response to, a person, team, or performance.
-
C.
languageOfFanbase
Indicates the primary language or languages commonly used by a fanbase in its communication and expression.
-
D.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
E.
languageOfYells
Indicates a relationship where a particular language is used as the medium or form of someone’s yelling or shouted expressions.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcaa8b8819099267564b6542547 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.