Triple
T14385064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Piccolo |
E356701
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joy Piccolo |
E571321
|
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: Joy Piccolo | Statement: [Brian Piccolo, spouse, Joy Piccolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joy Piccolo Context triple: [Brian Piccolo, spouse, Joy Piccolo]
-
A.
Joy Piccolo
chosen
Joy Piccolo is the wife of Chicago Bears running back Brian Piccolo, portrayed in the 2001 film "Brian's Song" as a central figure providing emotional support during his battle with cancer.
-
B.
Risa
Risa is a character in August Wilson's play "Two Trains Running," known as a young, resilient waitress whose personal struggles and aspirations reflect the broader social and emotional tensions of the story.
-
C.
Nao-mi
Nao-mi is a romanized given name derived from the Japanese name "Naomi," commonly used for females in Japan and internationally.
-
D.
Rosario Segimon
Rosario Segimon was a wealthy Catalan patron who financed the construction of Antoni Gaudí’s iconic Casa Milà in Barcelona.
-
E.
Totsuko
Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5513e8888190bc6b6cb33fd9b670 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.