Triple
T22092398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dawn (2012 film) |
E545942
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Toni Walsh
Toni Walsh is a central member of the teenage resistance group fighting a North Korean invasion in the 2012 action film "Red Dawn."
|
E1561321
|
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: Toni Walsh | Statement: [Red Dawn (2012 film), mainCharacter, Toni Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Walsh Context triple: [Red Dawn (2012 film), mainCharacter, Toni Walsh]
-
A.
Sheila Walsh
Sheila Walsh is a Scottish-born Christian singer, author, and speaker known for her contemporary Christian music and inspirational books.
-
B.
Sheila Walsh
Sheila Walsh is a fictional character from Michael Connelly’s crime novel "The Closers," which features LAPD detective Harry Bosch reopening cold cases.
-
C.
Catherine Walsh
Catherine Walsh is a political rival of Chicago mayor Tom Kane in the television series "Boss."
-
D.
Toni Lindsay
Toni Lindsay is a musician and songwriter known for composing the track "Wishing It Was."
-
E.
Eileen Walsh
Eileen Walsh is an Irish actress known for her powerful performances in film, television, and theatre, including a notable role in the drama "The Magdalene Sisters."
- 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: Toni Walsh Triple: [Red Dawn (2012 film), mainCharacter, Toni Walsh]
Generated description
Toni Walsh is a central member of the teenage resistance group fighting a North Korean invasion in the 2012 action film "Red Dawn."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Walsh Target entity description: Toni Walsh is a central member of the teenage resistance group fighting a North Korean invasion in the 2012 action film "Red Dawn."
-
A.
Sheila Walsh
Sheila Walsh is a Scottish-born Christian singer, author, and speaker known for her contemporary Christian music and inspirational books.
-
B.
Sheila Walsh
Sheila Walsh is a fictional character from Michael Connelly’s crime novel "The Closers," which features LAPD detective Harry Bosch reopening cold cases.
-
C.
Catherine Walsh
Catherine Walsh is a political rival of Chicago mayor Tom Kane in the television series "Boss."
-
D.
Toni Lindsay
Toni Lindsay is a musician and songwriter known for composing the track "Wishing It Was."
-
E.
Eileen Walsh
Eileen Walsh is an Irish actress known for her powerful performances in film, television, and theatre, including a notable role in the drama "The Magdalene Sisters."
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc22afa788190a93dc2beeeeedcc3 |
completed | May 19, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_6a0bc31b94f481909c437296742cfed8 |
completed | May 19, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc38cf34c8190aaca05bbf32d28de |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 16, 2026, 8:29 p.m.