Triple
T3093708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serge Haroche |
E64542
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Haroche
Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
|
E326748
|
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: Haroche | Statement: [Serge Haroche, familyName, Haroche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haroche Context triple: [Serge Haroche, familyName, Haroche]
-
A.
Delarue
Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
D.
Souvestre
Souvestre is a French surname notably borne by educator Marie Souvestre, known for her progressive influence on women’s education in the 19th century.
-
E.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
- 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: Haroche Triple: [Serge Haroche, familyName, Haroche]
Generated description
Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haroche Target entity description: Haroche is a French surname most notably associated with Nobel Prize–winning physicist Serge Haroche.
-
A.
Delarue
Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
D.
Souvestre
Souvestre is a French surname notably borne by educator Marie Souvestre, known for her progressive influence on women’s education in the 19th century.
-
E.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23876a4819095bfc28640d8c200 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20370aba48190a31ec25bca0a4727 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2046f76488190adef6685544b080e |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2054bca388190ad40b2303ac96373 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:03 p.m.