Triple
T29074953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation franchise |
E735911
|
entity |
| Predicate | includesAdaptation |
P159135
|
FINISHED |
| Object | Foundation (TV series) |
—
|
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: Foundation (TV series) | Statement: [Foundation franchise, includesAdaptation, Foundation (TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAdaptation Context triple: [Foundation franchise, includesAdaptation, Foundation (TV series)]
-
A.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
B.
adaptationIncludes
chosen
Indicates that an adaptation incorporates, contains, or makes use of a particular component, element, or feature as part of its adapted form.
-
C.
hasAdaptationsIn
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
D.
adaptationIn
Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
-
E.
adaptationAs
Indicates that one entity is an adaptation or adapted version of another entity, typically transforming the original into a new form or medium while preserving a core relationship.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
Created at: April 28, 2026, 10:22 a.m.