Triple
T3460241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planet Terror |
E73005
|
entity |
| Predicate | plotIncludes |
P2762
|
FINISHED |
| Object | zombie-like infection outbreak |
—
|
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: zombie-like infection outbreak | Statement: [Planet Terror, plotIncludes, zombie-like infection outbreak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plotIncludes Context triple: [Planet Terror, plotIncludes, zombie-like infection outbreak]
-
A.
plotInvolvement
Indicates that an entity participates in, contributes to, or is affected by the events or storyline of a narrative work.
-
B.
plotElement
chosen
Indicates that one entity functions as a narrative component or structural element within the storyline of another entity (such as a work of fiction or media).
-
C.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
D.
seriesIncludes
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
E.
capturedIn
Indicates that one entity was taken prisoner, seized, or otherwise brought under control within the context, location, or event represented by another entity.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae5ff848190880fa416a123bc4a |
completed | March 8, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.