Triple
T20005531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milchick |
E494448
|
entity |
| Predicate | alignmentWithinStory |
P74485
|
FINISHED |
| Object | aligned with Lumon corporate interests |
—
|
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: aligned with Lumon corporate interests | Statement: [Milchick, alignmentWithinStory, aligned with Lumon corporate interests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentWithinStory Context triple: [Milchick, alignmentWithinStory, aligned with Lumon corporate interests]
-
A.
alignmentInStory
chosen
Indicates how a character’s moral or ethical stance (e.g., good, neutral, evil) is portrayed within the context of a specific story.
-
B.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
C.
alignmentAtIntroduction
Indicates that two entities share a particular alignment or stance at the moment one is first introduced.
-
D.
narrativelyCenteredIn
Indicates that an event, character, or element is positioned as the primary focus or organizing center of a narrative within a given context.
-
E.
alignmentInSeries
Indicates that one entity’s position or orientation is arranged in a specific way relative to others within an ordered sequence or series.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a46c748190a141ab5aac6ea250 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.