Triple
T32641393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Life in the Universe |
E834486
|
entity |
| Predicate | femaleLeadDescription |
P173057
|
FINISHED |
| Object | Thai bar hostess |
—
|
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: Thai bar hostess | Statement: [Last Life in the Universe, femaleLeadDescription, Thai bar hostess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleLeadDescription Context triple: [Last Life in the Universe, femaleLeadDescription, Thai bar hostess]
-
A.
femaleLeadCharacterStatus
Indicates the narrative or role status assigned to a female lead character within a story or production.
-
B.
leadFemaleRoleType
chosen
Indicates that an entity holds or is associated with the primary female leading role type in a work or production.
-
C.
relationshipTypeWithFemaleLead
Indicates the type or nature of a relationship that an entity has with a female lead.
-
D.
femaleRole
Indicates that the role, function, or position involved is associated with or designated as female.
-
E.
femaleProtagonistName
Indicates that the specified name belongs to a female character who serves as the main protagonist in a narrative.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c775d6188190b236fc4f89a11b61 |
completed | May 3, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.