Triple
T33509895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mob Queen |
E858210
|
entity |
| Predicate | hasProtagonistSocialStatus |
P33359
|
FINISHED |
| Object | low-level criminal |
—
|
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: low-level criminal | Statement: [Mob Queen, hasProtagonistSocialStatus, low-level criminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistSocialStatus Context triple: [Mob Queen, hasProtagonistSocialStatus, low-level criminal]
-
A.
protagonistSocialStatus
chosen
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
B.
protagonistSocialType
Indicates the type of social role, status, or interaction style that the protagonist has within the context of the narrative or scenario.
-
C.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
D.
protagonistStatusAtStart
Indicates the role or condition the main character is in at the beginning of the narrative or event.
-
E.
hasProtagonistRelationship
Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01a48fbbd481908ccf75551dcf4647 |
completed | May 11, 2026, 9:42 a.m. |
| PD | Predicate disambiguation | batch_6a01a2d6db208190b11c1af601a544f5 |
completed | May 11, 2026, 9:35 a.m. |
Created at: May 1, 2026, 1:38 a.m.