Triple
T22803397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramps |
E564463
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Morgan Faust
Morgan Faust is a film editor known for her work on the movie "Tramps."
|
E1555769
|
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: Morgan Faust | Statement: [Tramps, editedBy, Morgan Faust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Faust Context triple: [Tramps, editedBy, Morgan Faust]
-
A.
Morgan Hart
Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
-
B.
Morgan Grimes
Morgan Grimes is a comedic, loyal best friend and later spy ally in the TV series "Chuck," known for his nerdy charm and personal growth from slacker to capable operative.
-
C.
Morgan Mason
Morgan Mason is a British-born film producer and former political operative known for his work in the entertainment industry and his involvement in U.S. Republican politics.
-
D.
Morgan Stark
Morgan Stark is the daughter of Tony Stark and Pepper Potts in the Marvel Cinematic Universe, introduced in "Avengers: Endgame" as part of Tony's post-hero life.
-
E.
Ash Morgan
Ash Morgan is a central con artist character in the British television drama series "Hustle," known for his technical expertise and role in executing elaborate scams.
- 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: Morgan Faust Triple: [Tramps, editedBy, Morgan Faust]
Generated description
Morgan Faust is a film editor known for her work on the movie "Tramps."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Faust Target entity description: Morgan Faust is a film editor known for her work on the movie "Tramps."
-
A.
Morgan Hart
Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
-
B.
Morgan Grimes
Morgan Grimes is a comedic, loyal best friend and later spy ally in the TV series "Chuck," known for his nerdy charm and personal growth from slacker to capable operative.
-
C.
Morgan Mason
Morgan Mason is a British-born film producer and former political operative known for his work in the entertainment industry and his involvement in U.S. Republican politics.
-
D.
Morgan Stark
Morgan Stark is the daughter of Tony Stark and Pepper Potts in the Marvel Cinematic Universe, introduced in "Avengers: Endgame" as part of Tony's post-hero life.
-
E.
Ash Morgan
Ash Morgan is a central con artist character in the British television drama series "Hustle," known for his technical expertise and role in executing elaborate scams.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e9b35e08190a3ad478355279253 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba2386bf88190911fe2cd9870023a |
completed | May 18, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba2bae9888190a8d115579643695b |
completed | May 18, 2026, 11:37 p.m. |
Created at: April 17, 2026, 3:31 p.m.