Triple
T3814885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfredo |
E84227
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Alf |
E391786
|
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: Alf | Statement: [Alfredo, hasDiminutive, Alf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alf Context triple: [Alfredo, hasDiminutive, Alf]
-
A.
Alf
Alf is the nickname of Allan Langer, a celebrated Australian rugby league halfback renowned for his playmaking skills and success with the Brisbane Broncos and Queensland Maroons.
-
B.
ALF
ALF is the IATA airport code for Alta Airport, a regional airport serving the town of Alta in northern Norway.
-
C.
Alfy
chosen
Alfy is a given name, typically used as a diminutive or variant of names like Alfred or Alfie.
-
D.
Fat Albert
Fat Albert is a lovable, wisecracking, and overweight African-American teenager who leads a group of urban kids in the animated television series "Fat Albert and the Cosby Kids."
-
E.
Alvin
Alvin is a deep-sea research submersible renowned for its crewed explorations of the ocean floor, including investigations of hydrothermal vents and the Titanic wreck.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8de9e948190bf461e55ad00eddb |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5121f9d288190bd265a95b7727ab5 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.