Triple
T426688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Perrin |
E9624
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Perrin
Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
|
E54262
|
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: Perrin | Statement: [Jean Perrin, familyName, Perrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perrin Context triple: [Jean Perrin, familyName, Perrin]
-
A.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
B.
Aegon
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
C.
Pyrrha
Pyrrha is a figure in Greek mythology best known as the wife of Deucalion and one of the two survivors of the great flood sent by Zeus.
-
D.
Narsai
Narsai was a prominent 5th-century Syriac Christian theologian and poet, renowned for his extensive homilies and influential role in the Church of the East.
-
E.
Dani Ardor
Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
- 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: Perrin Triple: [Jean Perrin, familyName, Perrin]
Generated description
Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perrin Target entity description: Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
-
A.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
B.
Aegon
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
C.
Pyrrha
Pyrrha is a figure in Greek mythology best known as the wife of Deucalion and one of the two survivors of the great flood sent by Zeus.
-
D.
Narsai
Narsai was a prominent 5th-century Syriac Christian theologian and poet, renowned for his extensive homilies and influential role in the Church of the East.
-
E.
Dani Ardor
Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed691c4819092b7e57306114bbc |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42f665c2881908850bce36cdf74b8 |
completed | March 1, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_69a43038d2348190a348e6661d27dde4 |
completed | March 1, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a430f6c6f88190b5aecfe3c4c8957d |
completed | March 1, 2026, 12:28 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.