Triple
T11120983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelin Berthelot |
E263013
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berthelot
Berthelot is a French surname most notably associated with the influential 19th-century chemist and politician Marcelin Berthelot.
|
E906386
|
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: Berthelot | Statement: [Marcelin Berthelot, familyName, Berthelot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berthelot Context triple: [Marcelin Berthelot, familyName, Berthelot]
-
A.
Richet
Richet is a French surname most notably associated with Charles Richet, the Nobel Prize–winning physiologist who discovered and named anaphylaxis.
-
B.
Gouy
Gouy is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis.
-
C.
Desmoulins
Desmoulins is a French surname most famously borne by Camille Desmoulins, a prominent journalist and revolutionary figure during the French Revolution.
-
D.
Arago
Arago was a prominent 19th-century French physicist, astronomer, and politician known for his work on optics, electromagnetism, and the popularization of science.
-
E.
Marcelin
Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
- 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: Berthelot Triple: [Marcelin Berthelot, familyName, Berthelot]
Generated description
Berthelot is a French surname most notably associated with the influential 19th-century chemist and politician Marcelin Berthelot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berthelot Target entity description: Berthelot is a French surname most notably associated with the influential 19th-century chemist and politician Marcelin Berthelot.
-
A.
Richet
Richet is a French surname most notably associated with Charles Richet, the Nobel Prize–winning physiologist who discovered and named anaphylaxis.
-
B.
Gouy
Gouy is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis.
-
C.
Desmoulins
Desmoulins is a French surname most famously borne by Camille Desmoulins, a prominent journalist and revolutionary figure during the French Revolution.
-
D.
Arago
Arago was a prominent 19th-century French physicist, astronomer, and politician known for his work on optics, electromagnetism, and the popularization of science.
-
E.
Marcelin
Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af911b881908168f23a4918231c |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8406988190837a16d7ad8048d1 |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 8, 2026, 9:28 p.m.