Triple
T1794611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montserrat Caballé |
E39574
|
entity |
| Predicate | songUsedAs |
P15505
|
FINISHED |
| Object | anthem of the 1992 Barcelona Olympic Games |
—
|
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: anthem of the 1992 Barcelona Olympic Games | Statement: [Montserrat Caballé, songUsedAs, anthem of the 1992 Barcelona Olympic Games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songUsedAs Context triple: [Montserrat Caballé, songUsedAs, anthem of the 1992 Barcelona Olympic Games]
-
A.
scriptUsedInLyrics
Indicates that a particular writing system or script is used to write or represent the lyrics of a song or musical work.
-
B.
songType
Indicates the specific category or genre that a given song belongs to.
-
C.
hasSong
Indicates that one entity possesses, features, or includes a particular song.
-
D.
notableSongWrittenFor
chosen
Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
-
E.
isSignatureSongOf
Indicates that a particular song is widely recognized as the most iconic or defining song associated with a specific artist or group.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.