Triple
T38009888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ada Clare |
E948335
|
entity |
| Predicate | hasNarrativeConnectionWith |
P51756
|
FINISHED |
| Object | Lady Dedlock |
—
|
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: Lady Dedlock | Statement: [Ada Clare, hasNarrativeConnectionWith, Lady Dedlock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrativeConnectionWith Context triple: [Ada Clare, hasNarrativeConnectionWith, Lady Dedlock]
-
A.
narrativeConnection
chosen
Indicates a meaningful relationship between elements within a narrative, such as events, characters, or scenes, that links them in terms of plot, causality, or thematic continuity.
-
B.
hasNarrativeArcOf
Indicates that one entity embodies, represents, or corresponds to the narrative arc (story progression or plot structure) of another entity.
-
C.
hasNarrativeArcIn
Indicates that an entity’s storyline or narrative progression occurs within or is contained by a specified work, context, or medium.
-
D.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
E.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: May 3, 2026, 4:20 p.m.