Triple
T15500781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orin Incandenza |
E378945
|
entity |
| Predicate | romanticPattern |
P118894
|
FINISHED |
| Object | serial womanizing |
—
|
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: serial womanizing | Statement: [Orin Incandenza, romanticPattern, serial womanizing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanticPattern Context triple: [Orin Incandenza, romanticPattern, serial womanizing]
-
A.
romanticArc
Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
-
B.
romanticOutcome
Indicates that a romantic relationship or interaction between entities results in a particular outcome, such as success, failure, or change in status.
-
C.
romanticLeadIn
Indicates that one entity is the primary romantic interest or central romantic partner of another within a narrative or context.
-
D.
romanticManipulationOf
Indicates a relationship where one entity deliberately exploits romantic feelings or dynamics to control, influence, or deceive another entity.
-
E.
romanticMisunderstandingsWith
Indicates a situation where two entities experience confusion, misinterpretation, or mistaken beliefs about each other’s romantic feelings, intentions, or relationship status.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:54 a.m.