Triple
T21722552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Against All Odds |
E536195
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jake Wise
Jake Wise is the protagonist of the 1984 neo-noir romantic thriller film "Against All Odds," around whom the story’s central mystery and romantic tension revolve.
|
E1498786
|
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: Jake Wise | Statement: [Against All Odds, mainCharacter, Jake Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Wise Context triple: [Against All Odds, mainCharacter, Jake Wise]
-
A.
Jason Wise
Jason Wise is a fictional character who serves as the central protagonist in the supernatural horror film Final Destination 3.
-
B.
Wes Wise
Wes Wise is an American journalist and politician who served as mayor of Dallas, Texas, in the 1970s.
-
C.
Justin Wilkes
Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
-
D.
Korey Wise
Korey Wise is one of the wrongfully convicted "Central Park Five" whose real-life story of injustice and eventual exoneration is depicted in the miniseries *When They See Us*.
-
E.
Chris Wrenn
Chris Wrenn is a musician best known as a former member of the American punk rock band Fifteen.
- 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: Jake Wise Triple: [Against All Odds, mainCharacter, Jake Wise]
Generated description
Jake Wise is the protagonist of the 1984 neo-noir romantic thriller film "Against All Odds," around whom the story’s central mystery and romantic tension revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Wise Target entity description: Jake Wise is the protagonist of the 1984 neo-noir romantic thriller film "Against All Odds," around whom the story’s central mystery and romantic tension revolve.
-
A.
Jason Wise
Jason Wise is a fictional character who serves as the central protagonist in the supernatural horror film Final Destination 3.
-
B.
Wes Wise
Wes Wise is an American journalist and politician who served as mayor of Dallas, Texas, in the 1970s.
-
C.
Justin Wilkes
Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
-
D.
Korey Wise
Korey Wise is one of the wrongfully convicted "Central Park Five" whose real-life story of injustice and eventual exoneration is depicted in the miniseries *When They See Us*.
-
E.
Chris Wrenn
Chris Wrenn is a musician best known as a former member of the American punk rock band Fifteen.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b98e6c8190a2afff6b11c78963 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a28d08738819081084d9d1c91e6ef |
completed | May 17, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2c3a1fc481908c46c86bc6bda9fa |
completed | May 17, 2026, 8:59 p.m. |
Created at: April 16, 2026, 6:47 p.m.