Triple
T4979247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Heights |
E111841
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Vanessa
Vanessa is a central character in the musical "In the Heights," known as an ambitious young woman from Washington Heights who dreams of leaving the neighborhood to build a better life.
|
E116721
|
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: Vanessa | Statement: [In the Heights, notableCharacter, Vanessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Context triple: [In the Heights, notableCharacter, Vanessa]
-
A.
Vanessa
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
B.
Vanessa Roth
Vanessa Roth is an Academy Award-winning American documentary filmmaker known for her socially conscious films and work in education and social justice.
-
C.
Vanessa Zima
Vanessa Zima is an American actress known for her roles in films such as "Ulee's Gold" and "The Brain."
-
D.
Nicole
Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
-
E.
Nicole
Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
- 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: Vanessa Triple: [In the Heights, notableCharacter, Vanessa]
Generated description
Vanessa is a central character in the musical "In the Heights," known as an ambitious young woman from Washington Heights who dreams of leaving the neighborhood to build a better life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanessa Target entity description: Vanessa is a central character in the musical "In the Heights," known as an ambitious young woman from Washington Heights who dreams of leaving the neighborhood to build a better life.
-
A.
Vanessa
chosen
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
B.
Vanessa Roth
Vanessa Roth is an Academy Award-winning American documentary filmmaker known for her socially conscious films and work in education and social justice.
-
C.
Vanessa Zima
Vanessa Zima is an American actress known for her roles in films such as "Ulee's Gold" and "The Brain."
-
D.
Nicole
Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
-
E.
Nicole
Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
- F. None of above.
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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd723418e881908f1e43b1be0a2f17 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0ac8d48190b9d050e26b67a794 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8d747c40819098ac5d475d60ab46 |
completed | March 21, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8df7ab9c8190b1af6e32f0f33b30 |
completed | March 21, 2026, 12:24 p.m. |
Created at: March 20, 2026, 1:33 p.m.