Triple
T551007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spy Kids |
E11838
|
entity |
| Predicate | notableCastMember |
P7010
|
FINISHED |
| Object |
Daryl Sabara
Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
|
E73071
|
NE FINISHED |
How this triple was built (4 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: [Spy Kids, notableCastMember, Daryl Sabara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daryl Sabara Context triple: [Spy Kids, notableCastMember, Daryl Sabara]
-
A.
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.
-
B.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
C.
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.
-
D.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
E.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daryl Sabara Triple: [Spy Kids, notableCastMember, Daryl Sabara]
Generated description
Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daryl Sabara Target entity description: Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
-
A.
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.
-
B.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
C.
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.
-
D.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
E.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
- F. None of above. chosen
Provenance (5 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e219c788190888ef02fad09096e |
completed | March 2, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69a50e8f3be48190afff999bc3fa9f8a |
completed | March 2, 2026, 4:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a50ee34654819097bc0f70bd59de4d |
completed | March 2, 2026, 4:15 a.m. |
Created at: March 1, 2026, 7:32 p.m.