Triple
T14536596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbie (Dronkey) |
E341058
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Peanut (Dronkey) |
E341061
|
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: Peanut (Dronkey) | Statement: [Debbie (Dronkey), hasSibling, Peanut (Dronkey)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peanut (Dronkey) Context triple: [Debbie (Dronkey), hasSibling, Peanut (Dronkey)]
-
A.
Peanut (Dronkey)
chosen
Peanut is one of the hybrid dragon-donkey offspring, or "Dronkeys," born to Donkey and Dragon in the Shrek film series.
-
B.
Bananas (Dronkey)
Bananas is one of Donkey and Dragon’s hybrid dragon-donkey offspring, known collectively as the Dronkeys, from the Shrek film series.
-
C.
Dorothy the Monkey
Dorothy the Monkey is a capuchin monkey best known for appearing as an animal actor on the television series "Animal Practice."
-
D.
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.
-
E.
Chee-Chee the monkey
Chee-Chee the monkey is a loyal, talkative simian companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5ae04881909e7eb766fca33066 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.