Triple
T20620632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flicka |
E506687
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object | Flicka film 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: Flicka film series | Statement: [Flicka, partOfSeries, Flicka film series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flicka film series Context triple: [Flicka, partOfSeries, Flicka film series]
-
A.
Flicka
Flicka is a 2006 family drama film about a teenage girl and her bond with a wild mustang, adapted from the classic novel "My Friend Flicka."
-
B.
Flicka 2
chosen
Flicka 2 is a 2006 direct-to-video family drama film and sequel to the horse-themed movie Flicka, following a new story of a young girl and her bond with a spirited mustang.
-
C.
Appaloosa
Appaloosa is a Western novel by Robert B. Parker that follows two lawmen hired to bring order to a violent frontier town.
-
D.
Hollywood Animal
Hollywood Animal is a memoir by screenwriter Joe Eszterhas recounting his tumultuous life and career in Hollywood.
-
E.
Mustangs
Mustangs are the athletic teams and school spirit symbol representing Milton Academy in its interscholastic sports and community events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.