Triple
T11574742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrek the Third |
E274473
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Donkey |
E67941
|
NE FINISHED |
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: Donkey | Statement: [Shrek the Third, mainCharacter, Donkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donkey Context triple: [Shrek the Third, mainCharacter, Donkey]
-
A.
Donkey (Shrek)
chosen
Donkey (Shrek) is the fast-talking, comedic, and loyal talking donkey who serves as Shrek’s sidekick in the Shrek animated film series.
-
B.
Mule
Mule Suttles was a legendary power-hitting first baseman and outfielder in Negro league baseball, renowned for his prodigious home runs and later induction into the Baseball Hall of Fame.
-
C.
Hank the Mule
Hank the Mule is a talking, often comically stubborn but loyal mule who accompanies Betsy Bobbin on her adventures in L. Frank Baum’s Oz series.
-
D.
Mules
The Mules are the men's athletic teams representing the University of Central Missouri in intercollegiate sports.
-
E.
Clarence the Ram
Clarence the Ram is the costumed ram mascot representing Winston-Salem State University and its athletic teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89048120c81908258f984711f7dd4 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713e49f508190b9bad316d68eab42 |
completed | April 21, 2026, 6:06 a.m. |
Created at: April 8, 2026, 9:38 p.m.