Triple
T36667811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Reed Robertson |
E905317
|
entity |
| Predicate | notableActionInPlot |
P205001
|
FINISHED |
| Object | obsession with a teenage girl |
—
|
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: obsession with a teenage girl | Statement: [Caroline Reed Robertson, notableActionInPlot, obsession with a teenage girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableActionInPlot Context triple: [Caroline Reed Robertson, notableActionInPlot, obsession with a teenage girl]
-
A.
notableActionAt
Indicates that an entity performed or was involved in a significant action or event at a specific location or point in time.
-
B.
notableWorkInPlot
Indicates that a work is prominently featured or plays a significant role within the plot of another work.
-
C.
notableFeatureInStory
Indicates that a particular feature, element, or characteristic plays a significant or prominent role within a story.
-
D.
protagonistAction
Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
-
E.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.