Triple
T7423985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rent |
E171321
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Maureen Johnson
Maureen Johnson is a flamboyant, performance-artist character in the musical "Rent," known for her dramatic personality and complex romantic relationships.
|
E664434
|
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: Maureen Johnson | Statement: [Rent, notableCharacter, Maureen Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maureen Johnson Context triple: [Rent, notableCharacter, Maureen Johnson]
-
A.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
B.
Audrey Maas
Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
-
C.
Darren Star
Darren Star is an American television writer and producer best known for creating hit series such as "Sex and the City," "Beverly Hills, 90210," and "Melrose Place."
-
D.
Meg Cabot
Meg Cabot is an American author best known for her popular young adult novels, particularly the bestselling "The Princess Diaries" series.
-
E.
Gail Carson Levine
Gail Carson Levine is an American author best known for her Newbery Honor–winning children's fantasy novel "Ella Enchanted."
- 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: Maureen Johnson Triple: [Rent, notableCharacter, Maureen Johnson]
Generated description
Maureen Johnson is a flamboyant, performance-artist character in the musical "Rent," known for her dramatic personality and complex romantic relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maureen Johnson Target entity description: Maureen Johnson is a flamboyant, performance-artist character in the musical "Rent," known for her dramatic personality and complex romantic relationships.
-
A.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
B.
Audrey Maas
Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
-
C.
Darren Star
Darren Star is an American television writer and producer best known for creating hit series such as "Sex and the City," "Beverly Hills, 90210," and "Melrose Place."
-
D.
Meg Cabot
Meg Cabot is an American author best known for her popular young adult novels, particularly the bestselling "The Princess Diaries" series.
-
E.
Gail Carson Levine
Gail Carson Levine is an American author best known for her Newbery Honor–winning children's fantasy novel "Ella Enchanted."
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81effc488819086336eea92604fa8 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81fe025d081909f2a5c4515c60f64 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c824010104819081977e89d79ebb44 |
completed | March 28, 2026, 6:54 p.m. |
Created at: March 27, 2026, 3:12 p.m.