Triple
T13540698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Am I Blue |
E323374
|
entity |
| Predicate | hasPerformer |
P5936
|
FINISHED |
| Object | Harry Connick Jr. |
E123790
|
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: Harry Connick Jr. | Statement: [Am I Blue, hasPerformer, Harry Connick Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Connick Jr. Context triple: [Am I Blue, hasPerformer, Harry Connick Jr.]
-
A.
Harry Connick Jr.
chosen
Harry Connick Jr. is an American singer, pianist, composer, and actor known for his jazz and big band recordings as well as his work in film and television.
-
B.
Harry Connick Sr.
Harry Connick Sr. is an American lawyer and politician best known for serving as the long-time District Attorney of Orleans Parish in New Orleans.
-
C.
Dan Riccio
Dan Riccio is a senior Apple executive and longtime hardware engineering leader known for overseeing the development of many of the company’s major products.
-
D.
Mark Murphy
Mark Murphy is an American sports executive and former NFL safety who serves as the president and CEO of the Green Bay Packers.
-
E.
Mark Murphy
Mark Murphy was an acclaimed American jazz vocalist known for his inventive phrasing, scat singing, and emotionally expressive interpretations of standards.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.