Triple
T15099491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickie |
E360624
|
entity |
| Predicate | performedInNumber |
P117316
|
FINISHED |
| Object | dance sequences in The Pajama Game |
—
|
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: dance sequences in The Pajama Game | Statement: [Nickie, performedInNumber, dance sequences in The Pajama Game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedInNumber Context triple: [Nickie, performedInNumber, dance sequences in The Pajama Game]
-
A.
performedTo
Indicates that an action or performance is directed toward or carried out on a particular entity.
-
B.
performedWith
Indicates that an action or activity is carried out using, accompanied by, or in conjunction with a specified entity or instrument.
-
C.
totalPerformances
Indicates the total number of times a particular performance, show, or act has been carried out.
-
D.
performsNumber
Indicates that an entity carries out or executes a specific numbered item, such as a task, role, or performance identified by that number.
-
E.
numberOfPerformers
Indicates the quantity of performers involved in a given event, act, or performance.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:04 a.m.