Triple
T31239843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Medusa Touch |
E796528
|
entity |
| Predicate | hasDisasterTheme |
P159000
|
FINISHED |
| Object | true |
—
|
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 | Statement: [The Medusa Touch, hasDisasterTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisasterTheme Context triple: [The Medusa Touch, hasDisasterTheme, true]
-
A.
hasDisaster
Indicates that an entity experiences, is affected by, or is associated with a disaster event.
-
B.
disasterOrWeatherTheme
chosen
Indicates that something is associated with, characterized by, or thematically focused on disasters or weather-related events.
-
C.
hasDisasterElement
Indicates that something includes, involves, or is characterized by an element or aspect of a disaster.
-
D.
disasterDepicted
Indicates that one entity visually represents or portrays a disaster involving or affecting another entity.
-
E.
supportsDisasterType
Indicates that one entity is capable of handling, responding to, or being applicable to a specified type of disaster.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 29, 2026, 9:11 p.m.