Triple
T14191901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings (2009 TV series) |
E351731
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Christopher Egan |
E821436
|
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 Egan | Statement: [Kings (2009 TV series), starring, Christopher Egan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Egan Context triple: [Kings (2009 TV series), starring, Christopher Egan]
-
A.
Christopher Egan
chosen
Christopher Egan is an Australian actor known for his roles in film and television, including the romantic drama "Letters to Juliet."
-
B.
Michael Pitts
Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
-
C.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
-
D.
Mike Vogel
Mike Vogel is an American actor known for his roles in films like "Cloverfield" and "The Help" as well as TV series such as "Under the Dome."
-
E.
Max Thieriot
Max Thieriot is an American actor known for his roles in films like "Catch That Kid" and "House at the End of the Street," as well as television series such as "SEAL Team" and "Fire Country," which he also co-created.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4674da8881909dc6c1c8a36cf78e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:04 a.m.