Triple
T5311152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Private War |
E119029
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Marissa McMahon
Marissa McMahon is a film producer best known for her work on the biographical war drama "A Private War."
|
E509910
|
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: Marissa McMahon | Statement: [A Private War, producer, Marissa McMahon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marissa McMahon Context triple: [A Private War, producer, Marissa McMahon]
-
A.
Missy Moreno
Missy Moreno is the young, quick-thinking daughter of a superhero who discovers and leads her own powers and team in the family-friendly action film "We Can Be Heroes."
-
B.
Misty Davenport
Misty Davenport is known as the wife of former NFL defensive tackle and professional wrestler Steve "Mongo" McMichael.
-
C.
Courtney Eaton
Courtney Eaton is an Australian actress and model best known for her roles in action and fantasy films such as "Mad Max: Fury Road" and "Gods of Egypt."
-
D.
Kayla Compton
Kayla Compton is an American actress best known for her role as Allegra Garcia on the superhero television series "The Flash."
-
E.
Dawn McCarthy
Dawn McCarthy is an American singer-songwriter and multi-instrumentalist best known as the creative force behind the experimental folk project Faun Fables.
- 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: Marissa McMahon Triple: [A Private War, producer, Marissa McMahon]
Generated description
Marissa McMahon is a film producer best known for her work on the biographical war drama "A Private War."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marissa McMahon Target entity description: Marissa McMahon is a film producer best known for her work on the biographical war drama "A Private War."
-
A.
Missy Moreno
Missy Moreno is the young, quick-thinking daughter of a superhero who discovers and leads her own powers and team in the family-friendly action film "We Can Be Heroes."
-
B.
Misty Davenport
Misty Davenport is known as the wife of former NFL defensive tackle and professional wrestler Steve "Mongo" McMichael.
-
C.
Courtney Eaton
Courtney Eaton is an Australian actress and model best known for her roles in action and fantasy films such as "Mad Max: Fury Road" and "Gods of Egypt."
-
D.
Kayla Compton
Kayla Compton is an American actress best known for her role as Allegra Garcia on the superhero television series "The Flash."
-
E.
Dawn McCarthy
Dawn McCarthy is an American singer-songwriter and multi-instrumentalist best known as the creative force behind the experimental folk project Faun Fables.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd85343ae08190bd9801ea4eac7003 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf11033c448190ab64600913ee8a9c |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf11c162f48190bdc56fea62575643 |
completed | March 21, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1237a644819081b1f1013e23cc66 |
completed | March 21, 2026, 9:48 p.m. |
Created at: March 20, 2026, 1:53 p.m.