Triple
T3435019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Marc Nattier |
E72428
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jean-Marc
Jean-Marc is a French masculine given name commonly used in Francophone countries, formed by combining "Jean" and "Marc."
|
E27779
|
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: Jean-Marc | Statement: [Jean-Marc Nattier, givenName, Jean-Marc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Marc Context triple: [Jean-Marc Nattier, givenName, Jean-Marc]
-
A.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
B.
Stéphane
Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
-
C.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
D.
Jérôme
Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
-
E.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
- 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: Jean-Marc Triple: [Jean-Marc Nattier, givenName, Jean-Marc]
Generated description
Jean-Marc is a French masculine given name commonly used in Francophone countries, formed by combining "Jean" and "Marc."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Marc Target entity description: Jean-Marc is a French masculine given name commonly used in Francophone countries, formed by combining "Jean" and "Marc."
-
A.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
B.
Stéphane
Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
-
C.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
D.
Jérôme
Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
-
E.
Jean-Pierre
chosen
Jean-Pierre is a French given name commonly used as a masculine compound first name.
- F. None of above.
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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c3300881909f5c3544f8923b41 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547fd15481909c310b731231d5bb |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b3588a03c08190aaed9a22837f2c0d |
completed | March 13, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b358e305548190b861e5ecbb59fa56 |
completed | March 13, 2026, 12:22 a.m. |
Created at: March 8, 2026, 3:16 p.m.