Triple
T29120110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reason |
E737155
|
entity |
| Predicate | hasNarrativeRoleFor |
P101050
|
FINISHED |
| Object | Powell and Donovan |
—
|
NE NERFINISHED |
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: Powell and Donovan | Statement: [Reason, hasNarrativeRoleFor, Powell and Donovan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrativeRoleFor Context triple: [Reason, hasNarrativeRoleFor, Powell and Donovan]
-
A.
hasNarrativeRole
Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
-
B.
inNarrativeRole
chosen
Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
-
C.
hasPartInNarrative
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
-
D.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
E.
metaNarrativeRole
Indicates the narrative function or role that one element (such as a character, voice, or device) plays in commenting on, framing, or reflecting the story itself at a meta-level.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 28, 2026, 11:25 a.m.