Triple
T535564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Reser |
E12318
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Al |
E63325
|
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: Al | Statement: [Al Reser, hasGivenName, Al]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Context triple: [Al Reser, hasGivenName, Al]
-
A.
Al
chosen
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
B.
AL
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
-
C.
Alpha
Alpha is the first letter of the Greek alphabet, often symbolizing beginnings, primacy, or the starting point in various contexts.
-
D.
Alpha
Alpha is Sony’s line of interchangeable-lens mirrorless and DSLR-style digital cameras aimed at photography enthusiasts and professionals.
-
E.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496d904408190a2ed16c839017623 |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8b002688190b7cf2e2f4b4433bf |
completed | March 1, 2026, 10:07 p.m. |
Created at: March 1, 2026, 7:32 p.m.