Triple
T15688848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Guillemin |
E380272
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Guillemin
Guillemin is a French surname most notably associated with Nobel Prize–winning neuroscientist and endocrinologist Roger Guillemin.
|
E1171580
|
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: Guillemin | Statement: [Roger Guillemin, familyName, Guillemin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guillemin Context triple: [Roger Guillemin, familyName, Guillemin]
-
A.
Guerin
Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
-
B.
Girod
Girod is a French surname and place name that appears as a variant of the name Giraud.
-
C.
Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
-
D.
Lasserre
Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
-
E.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
- 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: Guillemin Triple: [Roger Guillemin, familyName, Guillemin]
Generated description
Guillemin is a French surname most notably associated with Nobel Prize–winning neuroscientist and endocrinologist Roger Guillemin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guillemin Target entity description: Guillemin is a French surname most notably associated with Nobel Prize–winning neuroscientist and endocrinologist Roger Guillemin.
-
A.
Guerin
Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
-
B.
Girod
Girod is a French surname and place name that appears as a variant of the name Giraud.
-
C.
Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
-
D.
Lasserre
Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
-
E.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee91340819086c8f51e8eb477aa |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fd9c968819098b2552a9deb0445 |
completed | May 9, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff708d42448190a53b90e00721eaa5 |
completed | May 9, 2026, 5:36 p.m. |
Created at: April 10, 2026, 4:44 a.m.