Triple
T36529609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baxter family homestead |
E900404
|
entity |
| Predicate | mediaAdaptationContext |
P108205
|
FINISHED |
| Object | The Yearling (1946 film) |
—
|
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: The Yearling (1946 film) | Statement: [Baxter family homestead, mediaAdaptationContext, The Yearling (1946 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaAdaptationContext Context triple: [Baxter family homestead, mediaAdaptationContext, The Yearling (1946 film)]
-
A.
mediaAdaptationSettingOf
chosen
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original work.
-
B.
hasMediaAdaptation
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
C.
trackAdaptation
Indicates that one entity monitors, records, or follows changes in another entity’s adaptation or adjustment over time.
-
D.
bitrateAdaptationBasedOn
Indicates that the selection or adjustment of bitrate is determined based on the referenced factor or condition.
-
E.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:11 p.m.