Triple
T12786167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Skakel |
E305632
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Christopher G. Kennedy |
E330760
|
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: Christopher G. Kennedy | Statement: [Ethel Skakel, hasChild, Christopher G. Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher G. Kennedy Context triple: [Ethel Skakel, hasChild, Christopher G. Kennedy]
-
A.
Christopher G. Kennedy
chosen
Christopher G. Kennedy is an American businessman and member of the Kennedy political family, known for his work in real estate and public service in Illinois.
-
B.
Kevin Kennedy
Kevin Kennedy is a screenwriter known for co-writing the 2004 drama film "The Assassination of Richard Nixon."
-
C.
Sam Kennedy
Sam Kennedy is a Major League Baseball executive best known for serving as the president and CEO of the Boston Red Sox.
-
D.
Tom Kennedy
Tom Kennedy is an actor known for his role in the film "The Big House."
-
E.
Steve Kennedy
Steve Kennedy is a theatrical sound designer known for his work on major stage productions, including the Broadway musical "On Your Feet!".
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5dbdb88190a1b06721ada51627 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ebeab2081908a6e38351613e3ed |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:29 p.m.