Triple
T2179197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wicked Witch of the West |
E49000
|
entity |
| Predicate | iconicFeature |
P37670
|
FINISHED |
| Object | cackling laugh |
—
|
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: cackling laugh | Statement: [Wicked Witch of the West, iconicFeature, cackling laugh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconicFeature Context triple: [Wicked Witch of the West, iconicFeature, cackling laugh]
-
A.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
B.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
C.
notableLocationFeatured
Indicates that a particular location is prominently highlighted or showcased in relation to the subject.
-
D.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
E.
featureOfInterest
Indicates the entity or object that is the primary subject or focus of the described observation, measurement, or analysis.
- F. None of above. chosen
Provenance (4 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc434978c8190b9c4dd8411b87f23 |
completed | March 7, 2026, 6:22 a.m. |
Created at: March 4, 2026, 7:45 p.m.