Triple
T14839641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Étienne Perrin |
E348924
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Perrin |
E54262
|
NE FINISHED |
How this triple was built (2 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: Perrin | Statement: [Jean-Étienne Perrin, hasFamilyName, Perrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perrin Context triple: [Jean-Étienne Perrin, hasFamilyName, Perrin]
-
A.
Perrin
chosen
Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
-
B.
Baelen
Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
-
C.
Elayne Heilveil
Elayne Heilveil is an American actress best known for her role in the 1972 film "Payday."
-
D.
Leira
Leira is a river in southeastern Norway that serves as one of the tributaries feeding into the country’s longest river, the Glomma.
-
E.
Elend
Elend is a small village in the Harz region of central Germany, known for its forested surroundings and proximity to popular hiking and winter sports areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a9eb9481908ca509f484007cf6 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.