Triple
T1637189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Polar Express |
E35382
|
entity |
| Predicate | starred |
P5563
|
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: [The Polar Express, starred, Daryl Sabara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daryl Sabara Context triple: [The Polar Express, starred, 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.
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.
-
C.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
D.
Robby Mook
Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
-
E.
Travis Banton
Travis Banton was a prominent American Hollywood costume designer best known for his glamorous, influential work at Paramount Pictures during the 1920s and 1930s.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a192d588190bbfa4693ed787c05 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6099979481908e2c506323d546dd |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.