Triple
T38120717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ladies in Waiting |
E951924
|
entity |
| Predicate | performsInFormat |
P199995
|
FINISHED |
| Object | concert-style musical |
—
|
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: concert-style musical | Statement: [The Ladies in Waiting, performsInFormat, concert-style musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsInFormat Context triple: [The Ladies in Waiting, performsInFormat, concert-style musical]
-
A.
performsFormat
Indicates that one entity carries out or executes a specific format or formatting process on another entity or data.
-
B.
performsAt
Indicates that an entity carries out or presents a performance at a specific location, venue, or event.
-
C.
performsInNumber
Indicates that an entity takes part as a performer in a specific musical, theatrical, or similar numbered production or piece.
-
D.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
E.
containsFormat
Indicates that one entity includes or is associated with a particular format type as part of its content or representation.
- F. None of above. chosen
Provenance (4 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
| PDg | Predicate description generation | batch_69ff691e86d0819099fdb5eca5a95632 |
completed | May 9, 2026, 5:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.