Triple
T33552832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosamund Pike as Sam Chamberlain |
E859384
|
entity |
| Predicate | settingOfFictionalEvents |
P67881
|
FINISHED |
| Object | Newton Haven |
—
|
NE NERFINISHED |
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: Newton Haven | Statement: [Rosamund Pike as Sam Chamberlain, settingOfFictionalEvents, Newton Haven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfFictionalEvents Context triple: [Rosamund Pike as Sam Chamberlain, settingOfFictionalEvents, Newton Haven]
-
A.
fictionalUniverseEvent
Indicates an event or occurrence that takes place within a specific fictional universe or narrative continuity.
-
B.
settingOfFictionalLife
chosen
Indicates that a particular place or environment serves as the primary backdrop or context in which a fictional character’s life and experiences occur.
-
C.
hasEventInFiction
Indicates that a fictional work includes or depicts a particular event within its narrative.
-
D.
associatedWithFictionalEvent
Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
-
E.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
- 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 1:40 a.m.