Triple
T14699723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Superior (Sister Act 2: Back in the Habit) |
E345260
|
entity |
| Predicate | settingAffiliation |
P86004
|
FINISHED |
| Object | convent in San Francisco |
—
|
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: convent in San Francisco | Statement: [Mother Superior (Sister Act 2: Back in the Habit), settingAffiliation, convent in San Francisco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingAffiliation Context triple: [Mother Superior (Sister Act 2: Back in the Habit), settingAffiliation, convent in San Francisco]
-
A.
holderAffiliation
chosen
Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
-
B.
ownerAffiliation
Indicates that an entity’s owner is formally associated with, belongs to, or is aligned with another entity or organization.
-
C.
allowsAffiliationOf
Indicates that one entity grants permission or enables another entity to establish or hold an affiliation with it.
-
D.
affiliationStart
Indicates the point in time when an entity’s formal association or membership with another entity begins.
-
E.
stateAssociationAffiliation
Indicates a formal relationship in which an entity is associated or affiliated with a particular state or state-level organization.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.