Triple
T9359063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rappaccini's Daughter |
E225227
|
entity |
| Predicate | hasMotiveForRappaccini |
P15083
|
FINISHED |
| Object | pursuit of scientific knowledge |
—
|
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: pursuit of scientific knowledge | Statement: [Rappaccini's Daughter, hasMotiveForRappaccini, pursuit of scientific knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotiveForRappaccini Context triple: [Rappaccini's Daughter, hasMotiveForRappaccini, pursuit of scientific knowledge]
-
A.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
C.
hasMotiveElement
chosen
Indicates that one entity includes, specifies, or is characterized by a particular motive-related component or factor in a broader relationship or action.
-
D.
hasMotiveContext
Indicates that there is contextual information explaining the reasons or motivations behind an action, event, or relationship.
-
E.
hasMotiveForInhabitants
Indicates that an entity provides or embodies a reason, incentive, or justification for the actions, behaviors, or presence of its inhabitants.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff19ab48190a8d85c8ac2644c89 |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.