Triple
T15261018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauto Star |
E364773
|
entity |
| Predicate | grandsire |
P979
|
FINISHED |
| Object |
Moulin
Moulin was a Thoroughbred racehorse known primarily as an ancestor in the pedigree of the champion steeplechaser Kauto Star.
|
E1146578
|
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: Moulin | Statement: [Kauto Star, grandsire, Moulin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulin Context triple: [Kauto Star, grandsire, Moulin]
-
A.
Moulin
Moulin is a French commune known for its cultural and municipal partnership as a twin town of Wesel, Germany.
-
B.
Moulin
Moulin is a French surname most famously associated with Jean Moulin, a leading figure of the French Resistance during World War II.
-
C.
Moulin-à-Vent
Moulin-à-Vent is a renowned French appellation in the Beaujolais region known for producing some of its most structured, age-worthy red wines, primarily from the Gamay grape.
-
D.
Moulins
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
-
E.
Moulin de Sannois
Moulin de Sannois is a historic windmill in the town of Sannois, France, known as a prominent local heritage site and viewpoint.
- 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: Moulin Triple: [Kauto Star, grandsire, Moulin]
Generated description
Moulin was a Thoroughbred racehorse known primarily as an ancestor in the pedigree of the champion steeplechaser Kauto Star.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moulin Target entity description: Moulin was a Thoroughbred racehorse known primarily as an ancestor in the pedigree of the champion steeplechaser Kauto Star.
-
A.
Moulin
Moulin is a French commune known for its cultural and municipal partnership as a twin town of Wesel, Germany.
-
B.
Moulin
Moulin is a French surname most famously associated with Jean Moulin, a leading figure of the French Resistance during World War II.
-
C.
Moulin-à-Vent
Moulin-à-Vent is a renowned French appellation in the Beaujolais region known for producing some of its most structured, age-worthy red wines, primarily from the Gamay grape.
-
D.
Moulins
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
-
E.
Moulin de Sannois
Moulin de Sannois is a historic windmill in the town of Sannois, France, known as a prominent local heritage site and viewpoint.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fb8b30819096d31ba5884715c9 |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee805f5bc8190a6095e3c374f3441 |
completed | May 9, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee8e4dc688190bd597f8d710c8afc |
completed | May 9, 2026, 7:57 a.m. |
Created at: April 10, 2026, 3:14 a.m.