Triple
T6156450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serigny Le Moyne |
E137332
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
|
E590449
|
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: Serigny | Statement: [Serigny Le Moyne, givenName, Serigny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serigny Context triple: [Serigny Le Moyne, givenName, Serigny]
-
A.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
B.
Pontigny
Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
-
C.
Montdidier
Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
-
D.
Lisieux
Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
-
E.
La Ferté-Milon
La Ferté-Milon is a small historic commune in northern France best known as the birthplace of the classical playwright Jean Racine.
- 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: Serigny Triple: [Serigny Le Moyne, givenName, Serigny]
Generated description
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Serigny Target entity description: Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
A.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
B.
Pontigny
Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
-
C.
Montdidier
Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
-
D.
Lisieux
Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
-
E.
La Ferté-Milon
La Ferté-Milon is a small historic commune in northern France best known as the birthplace of the classical playwright Jean Racine.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d0376408190a2233375f478377e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6384fece08190ba78bf08d7ee5d4a |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63b1b0df4819089caf2b9bb965da2 |
completed | March 27, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63b84585481909cd6d221c4dac72f |
completed | March 27, 2026, 8:10 a.m. |
Created at: March 22, 2026, 4:17 p.m.