Triple
T14312916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Cornelius Howland |
E354877
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Alfred |
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: Alfred | Statement: [Alfred Cornelius Howland, hasGivenName, Alfred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfred Context triple: [Alfred Cornelius Howland, hasGivenName, Alfred]
-
A.
Alfred
chosen
Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
-
B.
Albert
Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
-
C.
Albert
Albert is the given first name of the Cameroonian football legend Roger Milla.
-
D.
Albert
Albert is the reigning Prince of Monaco, known formally as Albert II, head of the House of Grimaldi.
-
E.
Albert
Albert was the given name of Albert I of Habsburg, a medieval King of Germany and member of the influential Habsburg dynasty.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d3124488190b2ea35949294e297 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.