Triple
T28002523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the big Other |
E707184
|
entity |
| Predicate | roleInDesire |
P195076
|
FINISHED |
| Object | locus from which desire is articulated |
—
|
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: locus from which desire is articulated | Statement: [the big Other, roleInDesire, locus from which desire is articulated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDesire Context triple: [the big Other, roleInDesire, locus from which desire is articulated]
-
A.
roleInTinder
Indicates the specific function or position an entity holds within the context of the Tinder platform or interaction.
-
B.
describesDesireFor
Indicates that one entity expresses or conveys a wish, longing, or aspiration directed toward another entity or outcome.
-
C.
roleInNappilyEverAfter
Indicates that an entity has a role or participation in the work "Nappily Ever After."
-
D.
roleInRelationship
Indicates that an entity holds a specific role or position within a defined relationship between two or more entities.
-
E.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: April 27, 2026, 7:58 p.m.