Triple
T12413672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Camden Town Murder series |
E296580
|
entity |
| Predicate | portraysViewpoint |
P8789
|
FINISHED |
| Object | male gaze |
—
|
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: male gaze | Statement: [The Camden Town Murder series, portraysViewpoint, male gaze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysViewpoint Context triple: [The Camden Town Murder series, portraysViewpoint, male gaze]
-
A.
viewpointFrom
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
B.
notableViewpoints
Indicates that an entity is associated with significant or noteworthy viewpoints, perspectives, or opinions.
-
C.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
D.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
E.
expressesViewOn
Indicates that one entity communicates or holds an opinion, stance, or perspective regarding another entity or topic.
- F. None of above.
Provenance (3 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.