Triple
T3239896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donkey (Shrek) |
E67941
|
entity |
| Predicate | species |
P87
|
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: [Donkey (Shrek), species, donkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: donkey Context triple: [Donkey (Shrek), species, 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.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
C.
Camel
Camel is the NATO reporting name for the Tupolev Tu-104, a Soviet-era twinjet airliner and one of the world’s first successful jet-powered passenger aircraft.
-
D.
Mules
The Mules are the men's athletic teams representing the University of Central Missouri in intercollegiate sports.
-
E.
Carabao
Carabao is a Thai energy drink brand known internationally for its high-profile sports sponsorships, including naming rights to England’s EFL Cup.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef4c0bc819095e4f84296fe7cb6 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774f93448190b8493b457636ae48 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.