Triple
T2900723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big |
E62646
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jared Rushton
Jared Rushton is an American former child actor best known for his roles in 1980s films such as "Big" and "Honey, I Shrunk the Kids."
|
E350155
|
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: Jared Rushton | Statement: [Big, starring, Jared Rushton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jared Rushton Context triple: [Big, starring, Jared Rushton]
-
A.
Jared Spurgeon
Jared Spurgeon is a Canadian professional ice hockey defenseman in the NHL known for his smart two-way play and leadership with the Minnesota Wild.
-
B.
Jared Richard
Jared Richard is an actor known for his role in the National Theatre stage production of "Frankenstein."
-
C.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
D.
Josh Heird
Josh Heird is a collegiate athletics administrator who serves as the athletic director overseeing the University of Louisville’s sports programs.
-
E.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
- 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: Jared Rushton Triple: [Big, starring, Jared Rushton]
Generated description
Jared Rushton is an American former child actor best known for his roles in 1980s films such as "Big" and "Honey, I Shrunk the Kids."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jared Rushton Target entity description: Jared Rushton is an American former child actor best known for his roles in 1980s films such as "Big" and "Honey, I Shrunk the Kids."
-
A.
Jared Spurgeon
Jared Spurgeon is a Canadian professional ice hockey defenseman in the NHL known for his smart two-way play and leadership with the Minnesota Wild.
-
B.
Jared Richard
Jared Richard is an actor known for his role in the National Theatre stage production of "Frankenstein."
-
C.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
D.
Josh Heird
Josh Heird is a collegiate athletics administrator who serves as the athletic director overseeing the University of Louisville’s sports programs.
-
E.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b081308190af8875151fb11c4e |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324d0152881909526cf9079560dc6 |
completed | March 12, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69b32571dfa48190875c7c83bac368ac |
completed | March 12, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b325dd73b08190bae32d7ffa582ade |
completed | March 12, 2026, 8:45 p.m. |
Created at: March 6, 2026, 10:10 p.m.