Triple
T254720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise |
E5411
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Lou-Lou |
E41999
|
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: Lou-Lou | Statement: [Louise, hasDiminutive, Lou-Lou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou-Lou Context triple: [Louise, hasDiminutive, Lou-Lou]
-
A.
Nell
Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
-
B.
Lulu
chosen
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
C.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
D.
Fifi
Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
-
E.
Leslie
Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d548cac819081b1636b2a057c62 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3dd2a946881909c7a53f3c712e0e3 |
completed | March 1, 2026, 6:31 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.