Triple
T14962848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Sagal |
E373105
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Joey Sagal |
E373104
|
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: Joey Sagal | Statement: [Boris Sagal, child, Joey Sagal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey Sagal Context triple: [Boris Sagal, child, Joey Sagal]
-
A.
Joey Sagal
chosen
Joey Sagal is an American actor and screenwriter known for his character roles in film and television, including portrayals of Elvis Presley.
-
B.
John Brydon
John Brydon was a British architect of the late 19th and early 20th centuries, known for designing prominent public buildings in London.
-
C.
Glenn Howerton
Glenn Howerton is an American actor, writer, and producer best known for co-creating and starring as Dennis Reynolds on the dark comedy series "It's Always Sunny in Philadelphia."
-
D.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
-
E.
Paul F. Tompkins
Paul F. Tompkins is an American comedian, actor, and writer known for his stand-up, podcast appearances, and character roles in television and film.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dc4715c81908b4745996d660f7c |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 2:40 a.m.