Triple
T33781279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracks (2013 film) |
E865661
|
entity |
| Predicate | titleCharacterBasedOn |
P28253
|
FINISHED |
| Object | Robyn Davidson |
—
|
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: Robyn Davidson | Statement: [Tracks (2013 film), titleCharacterBasedOn, Robyn Davidson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterBasedOn Context triple: [Tracks (2013 film), titleCharacterBasedOn, Robyn Davidson]
-
A.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
B.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
C.
titleCharacterNamedAfter
chosen
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
-
D.
motherCharacterBasedOn
Indicates that one mother character is created or written based on another specific character.
-
E.
basedOnCharacterFromWork
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: May 1, 2026, 1:45 a.m.