Triple
T16635994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Serious Man |
E404205
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Jessica McManus
Jessica McManus is an actress known for her role in the Coen brothers' dark comedy-drama film "A Serious Man."
|
E1302729
|
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: Jessica McManus | Statement: [A Serious Man, stars, Jessica McManus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica McManus Context triple: [A Serious Man, stars, Jessica McManus]
-
A.
Rebecca McGinnis
Rebecca McGinnis is a stage actress known for playing the role of Heidi Hansen in theatrical productions of the musical "Dear Evan Hansen."
-
B.
Joy McManigal
Joy McManigal is known as the former spouse of actor Giancarlo Esposito and has been involved in philanthropic and educational initiatives.
-
C.
Kate McTiernan
Kate McTiernan is a fictional kidnapping survivor and key supporting character in the thriller film "Kiss the Girls."
-
D.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
-
E.
Erica Mann
Erica Mann is the wife of late American actor, director, and writer Harold Ramis, known for his work on films like "Ghostbusters" and "Groundhog Day."
- 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: Jessica McManus Triple: [A Serious Man, stars, Jessica McManus]
Generated description
Jessica McManus is an actress known for her role in the Coen brothers' dark comedy-drama film "A Serious Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessica McManus Target entity description: Jessica McManus is an actress known for her role in the Coen brothers' dark comedy-drama film "A Serious Man."
-
A.
Rebecca McGinnis
Rebecca McGinnis is a stage actress known for playing the role of Heidi Hansen in theatrical productions of the musical "Dear Evan Hansen."
-
B.
Joy McManigal
Joy McManigal is known as the former spouse of actor Giancarlo Esposito and has been involved in philanthropic and educational initiatives.
-
C.
Kate McTiernan
Kate McTiernan is a fictional kidnapping survivor and key supporting character in the thriller film "Kiss the Girls."
-
D.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
-
E.
Erica Mann
Erica Mann is the wife of late American actor, director, and writer Harold Ramis, known for his work on films like "Ghostbusters" and "Groundhog Day."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034994bb2481909b712f7eba2e8ab0 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034beacd1881908a2de551ee28542f |
completed | May 12, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034c750938819098a851c1c22ba82c |
completed | May 12, 2026, 3:51 p.m. |
Created at: April 10, 2026, 5:17 a.m.