Triple
T6530686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotel Room |
E152221
|
entity |
| Predicate | narrativeAmbiguity |
P71448
|
FINISHED |
| Object | open-ended story about the woman’s situation |
—
|
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: open-ended story about the woman’s situation | Statement: [Hotel Room, narrativeAmbiguity, open-ended story about the woman’s situation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeAmbiguity Context triple: [Hotel Room, narrativeAmbiguity, open-ended story about the woman’s situation]
-
A.
narrativeCertainty
Indicates the degree of confidence or definitiveness with which a narrative, statement, or account is presented as true or reliable.
-
B.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
C.
narrativePremise
Indicates the foundational situation, conflict, or setup that initiates and drives the narrative’s events.
-
D.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
E.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:46 p.m.