Triple
T13577465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek de Solla Price Memorial Medal |
E324324
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Michel Zitt
Michel Zitt is a prominent French scholar in scientometrics and research evaluation, recognized internationally for his influential contributions to the quantitative study of science and technology.
|
E1048259
|
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: Michel Zitt | Statement: [Derek de Solla Price Memorial Medal, notableRecipient, Michel Zitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Zitt Context triple: [Derek de Solla Price Memorial Medal, notableRecipient, Michel Zitt]
-
A.
Michel Gill
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
-
B.
Michel Fessler
Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
-
C.
Denis Douyon
Denis Douyon is a researcher known for his scholarly work on the Dogon languages of Mali.
-
D.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
E.
Michel Bizot
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
- 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: Michel Zitt Triple: [Derek de Solla Price Memorial Medal, notableRecipient, Michel Zitt]
Generated description
Michel Zitt is a prominent French scholar in scientometrics and research evaluation, recognized internationally for his influential contributions to the quantitative study of science and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Zitt Target entity description: Michel Zitt is a prominent French scholar in scientometrics and research evaluation, recognized internationally for his influential contributions to the quantitative study of science and technology.
-
A.
Michel Gill
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
-
B.
Michel Fessler
Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
-
C.
Denis Douyon
Denis Douyon is a researcher known for his scholarly work on the Dogon languages of Mali.
-
D.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
E.
Michel Bizot
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02de1988190af2d473973ecd529 |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbbe3c08190a359dfe7c3c8f15c |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77641e5308190a75bcffeb9bfd7b4 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:48 p.m.