Triple
T3067199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viola de Lesseps |
E62130
|
entity |
| Predicate | inUniverseRestriction |
P44215
|
FINISHED |
| Object | women barred from acting on stage |
—
|
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: women barred from acting on stage | Statement: [Viola de Lesseps, inUniverseRestriction, women barred from acting on stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseRestriction Context triple: [Viola de Lesseps, inUniverseRestriction, women barred from acting on stage]
-
A.
inUniverseOrigin
Indicates that one entity originates from, or has its source within, the fictional universe or setting defined by another entity.
-
B.
setInUniverse
Indicates that something is located within, belongs to, or takes place in a particular fictional or conceptual universe.
-
C.
hasInUniversePerformance
Indicates that an entity gives or participates in a performance that occurs within a particular fictional or defined universe.
-
D.
hasCitizenshipRestriction
Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given context.
-
E.
isUniversal
Indicates that the relationship or property holds for all relevant entities or cases without exception.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.