Triple
T2271286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri |
E50663
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Riri
Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
|
E250087
|
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: Riri | Statement: [Henri, hasDiminutive, Riri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riri Context triple: [Henri, hasDiminutive, Riri]
-
A.
Roro
Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
-
B.
Lili
Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
-
C.
Hana
Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
-
D.
Hana
Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
-
E.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
- 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: Riri Triple: [Henri, hasDiminutive, Riri]
Generated description
Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riri Target entity description: Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
-
A.
Roro
Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
-
B.
Lili
Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
-
C.
Hana
Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
-
D.
Hana
Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
-
E.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1c0de488190876b644cdaa41637 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71db927c8190a76cfb873039b04b |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7486bf808190a732e5eb7744b087 |
completed | March 9, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae74eb89448190895fab4a493c6d08 |
completed | March 9, 2026, 7:21 a.m. |
Created at: March 4, 2026, 7:48 p.m.