Triple
T16648940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Andrenyi |
E404550
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Count |
E127790
|
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: Count | Statement: [Count Andrenyi, hasTitle, Count]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count Context triple: [Count Andrenyi, hasTitle, Count]
-
A.
Count
Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
-
B.
Count
chosen
Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
-
C.
CNT
CNT is the commonly used abbreviation for the USA Baseball Collegiate National Team, which features top U.S. college baseball players in international competition.
-
D.
CNT
CNT is a historic anarcho-syndicalist trade union and political organization in Spain known for its leading role in workers’ movements and the Spanish Civil War.
-
E.
CNT
CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad794388190b2817d2ec5ff0de0 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c2a8448190a9f05bc7e1ce7a05 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.