Triple
T36451368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Zou |
E898018
|
entity |
| Predicate | fanSectionNickname |
P49044
|
FINISHED |
| Object | The Zou Crew |
—
|
NE NERFINISHED |
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: The Zou Crew | Statement: [The Zou, fanSectionNickname, The Zou Crew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanSectionNickname Context triple: [The Zou, fanSectionNickname, The Zou Crew]
-
A.
supporterGroupNickname
chosen
Indicates that a particular nickname is used to refer to a group of supporters associated with an entity.
-
B.
fanNicknameForFixture
Indicates that a particular nickname is used by fans to refer to a specific fixture or matchup.
-
C.
fanBaseName
Indicates the name by which the collective group of fans of a particular person, group, or entity is known.
-
D.
fandomNickname
Indicates that one entity is the nickname used by fans to refer to another entity (such as a person, group, or work).
-
E.
hasHomeFansNickname
Indicates that an entity is known by a particular nickname specifically used by its home fans.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.