Triple
T9338299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marwan II |
E224700
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Marwan the Donkey |
E224700
|
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: Marwan the Donkey | Statement: [Marwan II, nickname, Marwan the Donkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marwan the Donkey Context triple: [Marwan II, nickname, Marwan the Donkey]
-
A.
Marwan the Donkey
chosen
Marwan the Donkey is the derisive nickname of Marwan II, the last Umayyad caliph whose defeat led to the dynasty’s collapse and the rise of the Abbasid Caliphate.
-
B.
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.
-
C.
Ahab the Arab
Ahab the Arab is a 1962 novelty song by American singer-comedian Ray Stevens that humorously tells the story of a cartoonish Middle Eastern character.
-
D.
Pakpak Simsim
Pakpak Simsim is a regional dialect of the Pakpak Dairi language spoken by the Pakpak people of northern Sumatra, Indonesia.
-
E.
Baba the Turk
Baba the Turk is a bearded lady and flamboyant character in Igor Stravinsky’s opera *The Rake’s Progress*, known for her comic yet unsettling marriage to the protagonist Tom Rakewell.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f312408190b5501432a6a855b7 |
completed | April 1, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3e28a488190aa9d70b5ceed8727 |
completed | April 4, 2026, 10:11 a.m. |
Created at: March 30, 2026, 7:40 p.m.