Triple
T36162963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovesick |
E1045924
|
entity |
| Predicate | hasSTIFocus |
P201882
|
FINISHED |
| Object | chlamydia diagnosis triggers the plot |
—
|
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: chlamydia diagnosis triggers the plot | Statement: [Lovesick, hasSTIFocus, chlamydia diagnosis triggers the plot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSTIFocus Context triple: [Lovesick, hasSTIFocus, chlamydia diagnosis triggers the plot]
-
A.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
B.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
C.
hasCharacterFocus
Indicates that a work, scene, or segment centers primarily on a particular character’s experiences, perspective, or development.
-
D.
hasFocusSystem
Indicates that one entity is the primary system or subsystem that another entity is currently directing its attention, control, or processing resources toward.
-
E.
hasVisualFocus
Indicates that one entity is currently directing its visual attention or gaze toward another entity.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a002e71bdc48190b922f2d3b362d259 |
completed | May 10, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_6a002e1a28708190b65f9e657c770bab |
completed | May 10, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_6a002e706dfc8190bbf2bc230f537e83 |
completed | May 10, 2026, 7:06 a.m. |
Created at: May 3, 2026, 4:08 p.m.