Triple
T14536858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiona |
E341065
|
entity |
| Predicate | curseBrokenBy |
P7531
|
FINISHED |
| Object | true love's kiss with Shrek |
—
|
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: true love's kiss with Shrek | Statement: [Fiona, curseBrokenBy, true love's kiss with Shrek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curseBrokenBy Context triple: [Fiona, curseBrokenBy, true love's kiss with Shrek]
-
A.
curseCondition
Indicates a condition or state in which an entity is affected by a curse or cursed effect.
-
B.
attemptedCurseReversal
Indicates an action where one entity tried, but did not necessarily succeed, to reverse or undo a curse affecting another entity.
-
C.
spontaneouslyBrokenBy
Indicates that a symmetry or property is not explicitly violated by the underlying laws but is instead broken by the system’s ground state or configuration due to spontaneous symmetry breaking caused by the specified entity or mechanism.
-
D.
associatedCurse
chosen
Indicates that one entity is linked to, affected by, or bears responsibility for a particular curse related to another entity.
-
E.
isBrokenBy
Indicates that one entity causes another entity to become damaged, nonfunctional, or destroyed.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.