Triple
T17698597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Child |
E441235
|
entity |
| Predicate | portraysOutcome |
P59870
|
FINISHED |
| Object | destruction of the warship |
—
|
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: destruction of the warship | Statement: [Thunder Child, portraysOutcome, destruction of the warship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysOutcome Context triple: [Thunder Child, portraysOutcome, destruction of the warship]
-
A.
outcomeOf
chosen
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
B.
describesOutcomeOf
Indicates that one entity specifies or characterizes the result, consequence, or outcome produced by another entity or process.
-
C.
portrayalReceived
Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
-
D.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
-
E.
portraysActivity
Indicates that one entity visually or narratively represents another entity engaged in a particular activity.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47158be9c8190bbf4e5162ff74ad2 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:04 a.m.