Triple
T23515343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucinda Perriweather |
E574344
|
entity |
| Predicate | unintendedEffectOfGift |
P39638
|
FINISHED |
| Object | removal of Ella's free will |
—
|
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: removal of Ella's free will | Statement: [Lucinda Perriweather, unintendedEffectOfGift, removal of Ella's free will]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unintendedEffectOfGift Context triple: [Lucinda Perriweather, unintendedEffectOfGift, removal of Ella's free will]
-
A.
unexpectedConsequenceOf
Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
-
B.
possibleSideEffect
Indicates that one entity may occur as a side effect or unintended consequence of another entity or action.
-
C.
giftBrought
Indicates that one entity brought or presented a gift to another entity.
-
D.
sideEffect
chosen
Indicates that one entity is an unintended or secondary effect resulting from the use or occurrence of another entity.
-
E.
avoidedConsequence
Indicates that an action or event prevented a particular consequence from occurring.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa81ab4c8190b85c8f80754020ea |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.