Triple
T706725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred |
E14115
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Alf |
E14115
|
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: [Alfred, hasVariant, Alf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alf Context triple: [Alfred, hasVariant, Alf]
-
A.
Linus
Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
-
B.
Alfred
chosen
Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
-
C.
Nils
Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
-
D.
Alan
Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
-
E.
Bert
Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a54607f08190b3ee4805f2ea4b2f |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5851548190adeacb2feb35a1cb |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.