Triple
T17936462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe (film) |
E448480
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Dick King-Smith |
—
|
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: Dick King-Smith | Statement: [Babe (film), basedOnAuthor, Dick King-Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick King-Smith Context triple: [Babe (film), basedOnAuthor, Dick King-Smith]
-
A.
Dick King-Smith
chosen
Dick King-Smith was a British children's author best known for his animal-themed novels, including "The Sheep-Pig," which inspired the film "Babe."
-
B.
Andrew Davies
Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
-
C.
Walter Farley
Walter Farley was an American author best known for his popular "Black Stallion" series of children's horse novels.
-
D.
Michael Morpurgo
Michael Morpurgo is a British children's author renowned for his emotionally powerful historical novels, including the acclaimed book "War Horse."
-
E.
Richard Adams
Richard Adams was an English novelist best known for his classic animal fantasy novel "Watership Down."
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad924f6c8190a0d676dfa20c9918 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.