Triple
T21490576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumper (film) |
E530224
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Roland Cox
Roland Cox is the relentless NSA agent and Paladin leader who hunts teleporting "jumpers" in the science-fiction film *Jumper*.
|
E1498184
|
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: Roland Cox | Statement: [Jumper (film), character, Roland Cox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Cox Context triple: [Jumper (film), character, Roland Cox]
-
A.
Glen Leach
Glen Leach is a musician best known as a member of the British rock band Wishbone Ash.
-
B.
Phil Callaghan
Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
-
C.
Paul Hogue
Paul Hogue was an American college basketball center best known for starring on the University of Cincinnati’s early-1960s championship teams and earning national player-of-the-year honors.
-
D.
Richard Cox
Richard Cox is an American actor known for his work in film, television, and theater, including roles in projects like the 1980 film "Cruising."
-
E.
Wayne Marr
Wayne Marr is an academic and entrepreneur best known as a co-founder of the Social Science Research Network (SSRN), a leading online repository for scholarly research.
- 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: Roland Cox Triple: [Jumper (film), character, Roland Cox]
Generated description
Roland Cox is the relentless NSA agent and Paladin leader who hunts teleporting "jumpers" in the science-fiction film *Jumper*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roland Cox Target entity description: Roland Cox is the relentless NSA agent and Paladin leader who hunts teleporting "jumpers" in the science-fiction film *Jumper*.
-
A.
Glen Leach
Glen Leach is a musician best known as a member of the British rock band Wishbone Ash.
-
B.
Phil Callaghan
Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
-
C.
Paul Hogue
Paul Hogue was an American college basketball center best known for starring on the University of Cincinnati’s early-1960s championship teams and earning national player-of-the-year honors.
-
D.
Richard Cox
Richard Cox is an American actor known for his work in film, television, and theater, including roles in projects like the 1980 film "Cruising."
-
E.
Wayne Marr
Wayne Marr is an academic and entrepreneur best known as a co-founder of the Social Science Research Network (SSRN), a leading online repository for scholarly research.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea3aee648190ba845f0c7d8110dd |
completed | April 23, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24990c548190b8d4125b896683ff |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a25e3f88c8190b9e45419c281f781 |
completed | May 17, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a26ad254081908be75936046e23ca |
completed | May 17, 2026, 8:35 p.m. |
Created at: April 16, 2026, 6:22 p.m.