Triple
T35943861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Mine to Give (1957 film) |
E1039531
|
entity |
| Predicate | basedOnEthnicityOfProtagonists |
P28254
|
FINISHED |
| Object | Scottish immigrants |
—
|
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: Scottish immigrants | Statement: [All Mine to Give (1957 film), basedOnEthnicityOfProtagonists, Scottish immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnEthnicityOfProtagonists Context triple: [All Mine to Give (1957 film), basedOnEthnicityOfProtagonists, Scottish immigrants]
-
A.
protagonistEthnicity
chosen
Indicates the ethnic background or cultural heritage associated with a work’s main character.
-
B.
hasEthnicityInFiction
Indicates that a fictional character or entity is portrayed as having a particular ethnicity within a narrative or fictional context.
-
C.
fictionalEthnicFocus
Indicates that something is primarily concerned with, centered on, or thematically emphasizes a fictional or invented ethnic group.
-
D.
portrayedByEthnicity
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
-
E.
hasRaciallyMixedProtagonist
Indicates that the primary protagonist in a work is of racially mixed or multiracial background.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff397e19a88190a945b826159f5290 |
completed | May 9, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69ff392400d0819088d30d08d4a774bd |
completed | May 9, 2026, 1:39 p.m. |
Created at: May 3, 2026, 4:07 p.m.