Triple
T23490388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takarazuka Revue Company |
E570652
|
entity |
| Predicate | employmentPolicy |
P152578
|
FINISHED |
| Object | performers retire at relatively young age |
—
|
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: performers retire at relatively young age | Statement: [Takarazuka Revue Company, employmentPolicy, performers retire at relatively young age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employmentPolicy Context triple: [Takarazuka Revue Company, employmentPolicy, performers retire at relatively young age]
-
A.
recruitmentPolicy
Indicates the rules, criteria, and procedures an organization follows when attracting, selecting, and hiring candidates.
-
B.
positionOnEmploymentPolicy
Indicates the stance or viewpoint an entity holds regarding employment-related rules, practices, or policies.
-
C.
compensationPolicy
Indicates the rules or guidelines that govern how compensation (such as salary, bonuses, or benefits) is determined and provided.
-
D.
employmentAction
Indicates an action or event that changes, initiates, or terminates an employment relationship between entities.
-
E.
issuesPolicyOn
Indicates that an authority or organization formally creates, approves, or enacts a policy concerning a particular subject or domain.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dba7388190a322ab059bb6522a |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:04 p.m.