Triple
T2547681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howling Commandos |
E57942
|
entity |
| Predicate | notableStoryArc |
P39504
|
FINISHED |
| Object | missions behind enemy lines in Europe |
—
|
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: missions behind enemy lines in Europe | Statement: [Howling Commandos, notableStoryArc, missions behind enemy lines in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStoryArc Context triple: [Howling Commandos, notableStoryArc, missions behind enemy lines in Europe]
-
A.
notableStory
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
-
B.
notableRecentStoryline
Indicates that there is a particularly significant or newsworthy recent sequence of events or developments involving the subject.
-
C.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
D.
notableEpisode
Indicates that a particular episode is especially significant, memorable, or noteworthy in relation to the subject.
-
E.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1c7b6e48190be9a0c31069df797 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:47 p.m.