Triple
T5193728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghan Trainor |
E117216
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Daryl Sabara |
E73071
|
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: Daryl Sabara | Statement: [Meghan Trainor, spouse, Daryl Sabara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daryl Sabara Context triple: [Meghan Trainor, spouse, Daryl Sabara]
-
A.
Daryl Sabara
chosen
Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
-
B.
Tom Dula
Tom Dula was a North Carolina man whose 1868 execution for the murder of Laura Foster inspired the famous American folk ballad "Tom Dooley."
-
C.
David Pajo
David Pajo is an American guitarist and songwriter best known for his influential work in the pioneering post-rock band Slint and for his diverse solo and collaborative projects across indie and experimental music.
-
D.
Paul Wall
Paul Wall is an American rapper and DJ from Houston, Texas, known for his Southern hip hop style and association with the city’s chopped and screwed scene.
-
E.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09743e08190a3a73fb410a6f124 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.