Triple
T31768814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red and White Song |
E810881
|
entity |
| Predicate | mainFightSongOf |
P4835
|
FINISHED |
| Object | North Carolina State University |
—
|
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: North Carolina State University | Statement: [Red and White Song, mainFightSongOf, North Carolina State University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainFightSongOf Context triple: [Red and White Song, mainFightSongOf, North Carolina State University]
-
A.
officialFightSong
chosen
Indicates that a particular song is formally designated as the official fight song of a team, school, or organization.
-
B.
diesFighting
Indicates that an entity dies as a direct result of engaging in a fight or combat.
-
C.
hasFight
Indicates that one entity engages in a physical or verbal conflict with another entity.
-
D.
firstFight
Indicates that the referenced event is the initial instance in which the involved entities engaged in a fight or combat with each other.
-
E.
firstSong
Indicates that one song is the earliest or initial song in a specified sequence, collection, or context.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abadf4408190a848007166af0a96 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:33 p.m.