Triple
T21899628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Marshall |
E540772
|
entity |
| Predicate | isCelebrityWithinStory |
P145059
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sarah Marshall, isCelebrityWithinStory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCelebrityWithinStory Context triple: [Sarah Marshall, isCelebrityWithinStory, true]
-
A.
isStoried
Indicates that something has a rich history, reputation, or legacy built up over time, often marked by notable events or traditions.
-
B.
hasStaffTypeInStory
Indicates that a story involves or is associated with a particular type or category of staff.
-
C.
isStoriedNicknameOf
Indicates that one entity is a well-known, often historically or culturally significant nickname or epithet used for the other entity.
-
D.
isPublicFigure
chosen
Indicates that the person holds a prominent, widely recognized role in society and is subject to increased public attention or scrutiny.
-
E.
hasFandomWithinStory
Indicates that within the narrative of a story, one entity is a fan or admirer of another entity (such as a character, group, or work) that exists inside that same story world.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fca2bf88190b2a5b912aa102513 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:07 p.m.