Triple
T13193894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Skakel |
E314061
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Skakel |
E305633
|
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: Skakel | Statement: [Patricia Skakel, familyName, Skakel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skakel Context triple: [Patricia Skakel, familyName, Skakel]
-
A.
Skakel
chosen
Skakel is an American family name notably associated with the wealthy Skakel family of Connecticut, relatives of the Kennedy family through Ethel Kennedy.
-
B.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
-
C.
Spilka
Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
-
D.
Kwintsheul
Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
-
E.
Shakka
Shakka is a work associated with Indian actress and model Persis Khambatta, best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c6158e4819082c8ad75b4dfdd90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f600f7a08190bcdd80d5563517c3 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.