Triple
T22975683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fargo (1996 film) |
E571308
|
entity |
| Predicate | basedOnClaim |
P7125
|
FINISHED |
| Object | inspired by true events (fictionalized) |
—
|
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: inspired by true events (fictionalized) | Statement: [Fargo (1996 film), basedOnClaim, inspired by true events (fictionalized)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnClaim Context triple: [Fargo (1996 film), basedOnClaim, inspired by true events (fictionalized)]
-
A.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
B.
basedOnFactFrom
Indicates that something is derived, justified, or constructed using factual information obtained from a specified source.
-
C.
hasClaimOn
Indicates that one entity holds a right, entitlement, or demand over another entity or its resources.
-
D.
areBasedOn
Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
-
E.
isBasedOn
chosen
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18235de508190ab9675d005870ff6 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.