Triple
T10776928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Bryan Jr. |
E254220
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Albert |
E270293
|
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: Albert | Statement: [Albert Bryan Jr., givenName, Albert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Context triple: [Albert Bryan Jr., givenName, Albert]
-
A.
Albert
Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
-
B.
Albert
Albert is the given name of Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
-
C.
Albert
chosen
Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
-
D.
Albert
Albert is a middle-aged divorcé portrayed by James Gandolfini in the romantic comedy film "Enough Said," where he becomes the love interest of Julia Louis-Dreyfus's character.
-
E.
Albert
Albert is a small town in northern France best known for its role on the Western Front during the First World War, particularly in the Battle of the Somme.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238ff88881908676d38dca041cb4 |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.