Triple
T30052115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sondheim, Etc., Etc. |
E763629
|
entity |
| Predicate | basedOnConcert |
P3224
|
FINISHED |
| Object | Bernadette Peters at the Royal Festival Hall |
—
|
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: Bernadette Peters at the Royal Festival Hall | Statement: [Sondheim, Etc., Etc., basedOnConcert, Bernadette Peters at the Royal Festival Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnConcert Context triple: [Sondheim, Etc., Etc., basedOnConcert, Bernadette Peters at the Royal Festival Hall]
-
A.
basedOnTourAlbum
Indicates that something (such as a work, event, or production) is derived from, inspired by, or created in connection with a specific tour album.
-
B.
basedOnEvent
chosen
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
-
C.
basedOnSongPerformer
Indicates that one entity is derived from, adapted from, or otherwise based on the performance of a song by a particular performer.
-
D.
basedOnAlbum
Indicates that one entity is derived from, adapted from, or created using the content or concept of a particular music album.
-
E.
basedOnPerformerBook
Indicates that something is derived from, adapted from, or otherwise grounded in a book authored by the specified performer.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 29, 2026, 6:55 p.m.