Triple
T14393359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiawei Han |
E356897
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Micheline Kamber
Micheline Kamber is a computer scientist and co-author of the influential data mining textbook "Data Mining: Concepts and Techniques."
|
E1129311
|
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: Micheline Kamber | Statement: [Jiawei Han, coAuthor, Micheline Kamber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micheline Kamber Context triple: [Jiawei Han, coAuthor, Micheline Kamber]
-
A.
Micheline Winter
Micheline Winter was the wife of renowned French filmmaker and actor Jacques Tati.
-
B.
Micheline Ostermeyer
Micheline Ostermeyer was a French athlete and concert pianist renowned for winning multiple track and field medals at the 1948 Olympic Games.
-
C.
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
-
D.
Hélène Cruppi
Hélène Cruppi was the wife of French politician and lawyer Jean Cruppi, known primarily through her association with his public and political life.
-
E.
Josette Contandin
Josette Contandin is the daughter of famed French actor and comedian Fernandel.
- 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: Micheline Kamber Triple: [Jiawei Han, coAuthor, Micheline Kamber]
Generated description
Micheline Kamber is a computer scientist and co-author of the influential data mining textbook "Data Mining: Concepts and Techniques."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Micheline Kamber Target entity description: Micheline Kamber is a computer scientist and co-author of the influential data mining textbook "Data Mining: Concepts and Techniques."
-
A.
Micheline Winter
Micheline Winter was the wife of renowned French filmmaker and actor Jacques Tati.
-
B.
Micheline Ostermeyer
Micheline Ostermeyer was a French athlete and concert pianist renowned for winning multiple track and field medals at the 1948 Olympic Games.
-
C.
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
-
D.
Hélène Cruppi
Hélène Cruppi was the wife of French politician and lawyer Jean Cruppi, known primarily through her association with his public and political life.
-
E.
Josette Contandin
Josette Contandin is the daughter of famed French actor and comedian Fernandel.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902b9acc8190817ffa848a76a880 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bbfc6048190897f064a5686ebf8 |
completed | May 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69fe8cfd57dc81909ba5789fefa0092c |
completed | May 9, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8d955d2c819087bb42e644478fbe |
completed | May 9, 2026, 1:27 a.m. |
Created at: April 10, 2026, 1:16 a.m.