Triple
T14218454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jury |
E352421
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Cote de Pablo |
E193344
|
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: Cote de Pablo | Statement: [The Jury, stars, Cote de Pablo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cote de Pablo Context triple: [The Jury, stars, Cote de Pablo]
-
A.
Cote de Pablo
chosen
Cote de Pablo is a Chilean-American actress and singer best known for her role as Mossad officer-turned-NCIS agent Ziva David on the television series "NCIS."
-
B.
Jonathan Del Arco
Jonathan Del Arco is a Uruguayan-American actor and activist best known for his role as the Borg drone Hugh on Star Trek: The Next Generation and Star Trek: Picard.
-
C.
Michael Ontkean
Michael Ontkean is a Canadian actor best known for his roles in the cult ice hockey film "Slap Shot" and the television series "Twin Peaks."
-
D.
Krys Marshall
Krys Marshall is an American actress best known for her role as astronaut Danielle Poole in the alternate-history science fiction television series "For All Mankind."
-
E.
Danny Pino
Danny Pino is an American actor best known for his television roles on series such as "Cold Case" and "Law & Order: Special Victims Unit."
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de621258d4819085f358cd2cf109e4 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28121a288190975d5852f9a503d4 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:06 a.m.