Triple
T15150615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey Bogart as Charlie Allnut |
E361930
|
entity |
| Predicate | missionInPlot |
P93485
|
FINISHED |
| Object | attackGermanWarship |
—
|
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: attackGermanWarship | Statement: [Humphrey Bogart as Charlie Allnut, missionInPlot, attackGermanWarship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionInPlot Context triple: [Humphrey Bogart as Charlie Allnut, missionInPlot, attackGermanWarship]
-
A.
mission
Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
-
B.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
-
C.
missionTo
Indicates that one entity is assigned, directed, or sent to carry out a specific mission involving another entity or location.
-
D.
taskInPlot
chosen
Indicates that a specific task occurs within, is associated with, or is part of a particular plot or storyline.
-
E.
missionDetail
Indicates a detailed specification or description associated with a particular mission, such as its objectives, parameters, or contextual information.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c934048190afac78a8023a544a |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.