Triple
T2485310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Ball |
E55912
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ball |
E49180
|
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: Ball | Statement: [Albert Ball, familyName, Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ball Context triple: [Albert Ball, familyName, Ball]
-
A.
Ball
chosen
Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
-
B.
Ball
Ball is a well-known consumer brand, particularly recognized for its glass canning jars and home food preservation products.
-
C.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
D.
Boule
Boule was the citizen council of Classical Athens responsible for preparing legislation and overseeing the day-to-day administration of the city-state’s government.
-
E.
The Ball
"The Ball" is a short story by renowned Japanese author Ryūnosuke Akutagawa, reflecting his characteristic blend of psychological insight and modernist narrative style.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd175f5ac8190870db9c6cb8e45bd |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17ba433481908eccda5c6c6246be |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.