Triple
T5293082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvirah and Willy series |
E119789
|
entity |
| Predicate | mainCharacterOccupationBeforeLottery |
P35945
|
FINISHED |
| Object | cleaning woman |
—
|
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: cleaning woman | Statement: [Alvirah and Willy series, mainCharacterOccupationBeforeLottery, cleaning woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterOccupationBeforeLottery Context triple: [Alvirah and Willy series, mainCharacterOccupationBeforeLottery, cleaning woman]
-
A.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
B.
characterFormerOccupation
chosen
Indicates that a character previously held a specific occupation but no longer does.
-
C.
beforeBecoming
Indicates that one state, role, or condition existed or occurred prior to another state, role, or condition coming into effect.
-
D.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
E.
resumedOccupation
Indicates that an entity has returned to and continued a previous occupation or role after a period of interruption or absence.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.