Triple
T3239904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donkey (Shrek) |
E67941
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Eclair (Dronkey)
Eclair is one of Donkey and Dragon’s hybrid dragon-donkey offspring, known as a dronkey, from the Shrek film series.
|
E341063
|
NE FINISHED |
How this triple was built (4 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: Eclair (Dronkey) | Statement: [Donkey (Shrek), child, Eclair (Dronkey)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eclair (Dronkey) Context triple: [Donkey (Shrek), child, Eclair (Dronkey)]
-
A.
The Egg
The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
-
B.
The Egg
The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
-
C.
Bondoufle
Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
-
D.
Tronchet
Tronchet is a French surname most notably borne by François Denis Tronchet, an influential 18th–19th century jurist and key figure in drafting the Napoleonic Civil Code.
-
E.
Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eclair (Dronkey) Triple: [Donkey (Shrek), child, Eclair (Dronkey)]
Generated description
Eclair is one of Donkey and Dragon’s hybrid dragon-donkey offspring, known as a dronkey, from the Shrek film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eclair (Dronkey) Target entity description: Eclair is one of Donkey and Dragon’s hybrid dragon-donkey offspring, known as a dronkey, from the Shrek film series.
-
A.
The Egg
The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
-
B.
The Egg
The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
-
C.
Bondoufle
Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
-
D.
Tronchet
Tronchet is a French surname most notably borne by François Denis Tronchet, an influential 18th–19th century jurist and key figure in drafting the Napoleonic Civil Code.
-
E.
Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69b2786b7d388190ad0d97bd41a60543 |
completed | March 12, 2026, 8:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27c45f6b08190966fbc3fd28664ec |
completed | March 12, 2026, 8:41 a.m. |
Created at: March 8, 2026, 3:08 p.m.