Triple
T32243698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roots in Water |
E823686
|
entity |
| Predicate | hasStoryteller |
P17575
|
FINISHED |
| Object | Domenica Cameron-Scorsese |
—
|
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: Domenica Cameron-Scorsese | Statement: [Roots in Water, hasStoryteller, Domenica Cameron-Scorsese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStoryteller Context triple: [Roots in Water, hasStoryteller, Domenica Cameron-Scorsese]
-
A.
hasCoNarrator
Indicates that two or more entities share the role of narrating the same work, event, or story together.
-
B.
hasNarratorTribe
Indicates that the narrator belongs to or is a member of a specified tribe.
-
C.
tellsStoriesIn
Indicates that one entity narrates or recounts stories within or to the context of another entity (such as a place, group, or medium).
-
D.
narratorOf
chosen
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
E.
hasLeaderInStory
Indicates that one entity serves as the leader of another entity within the context of a specific story or 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: May 1, 2026, 12:40 a.m.