Triple
T4280372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Brute |
E97132
|
entity |
| Predicate | expressesViewOn |
P55188
|
FINISHED |
| Object | institution of marriage |
—
|
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: institution of marriage | Statement: [Lady Brute, expressesViewOn, institution of marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressesViewOn Context triple: [Lady Brute, expressesViewOn, institution of marriage]
-
A.
viewOnInterpretation
Indicates a relationship where one entity expresses or embodies a particular perspective, opinion, or stance on a given interpretation of something.
-
B.
viewOnObject
Indicates that one entity directs its visual attention toward or observes another entity as an object of viewing.
-
C.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
D.
viewOnReason
Indicates that one entity holds or expresses a particular opinion, stance, or perspective about a specified reason or justification.
-
E.
viewOnAuthority
Indicates how an entity perceives, evaluates, or relates to authority, including attitudes toward obedience, legitimacy, and power structures.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35037b654819087abbb5ea231eefd |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.