Triple
T12993692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian Paroo |
E321977
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Mrs. Paroo
Mrs. Paroo is the warm, Irish-born mother of Marian the librarian in Meredith Willson’s musical "The Music Man."
|
E1013026
|
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: Mrs. Paroo | Statement: [Marian Paroo, relative, Mrs. Paroo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Paroo Context triple: [Marian Paroo, relative, Mrs. Paroo]
-
A.
Savita
Savita is a Vedic solar deity revered as a life-giving, illuminating divine force invoked in the Gayatri Mantra.
-
B.
Sarada Ukil
Sarada Ukil was a prominent Indian painter associated with the Bengal School of Art, known for his role in advancing modern Indian art in the early 20th century.
-
C.
Sudha
Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
-
D.
Nana Sahib
Nana Sahib was a prominent Indian aristocrat and leader who played a key role in directing rebel forces against British rule during the Indian Rebellion of 1857.
-
E.
Mrs. Rita
"Mrs. Rita" is a song by the American rock band Gin Blossoms, known for its jangly guitar sound and introspective alternative rock style characteristic of their early 1990s work.
- 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: Mrs. Paroo Triple: [Marian Paroo, relative, Mrs. Paroo]
Generated description
Mrs. Paroo is the warm, Irish-born mother of Marian the librarian in Meredith Willson’s musical "The Music Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mrs. Paroo Target entity description: Mrs. Paroo is the warm, Irish-born mother of Marian the librarian in Meredith Willson’s musical "The Music Man."
-
A.
Savita
Savita is a Vedic solar deity revered as a life-giving, illuminating divine force invoked in the Gayatri Mantra.
-
B.
Sarada Ukil
Sarada Ukil was a prominent Indian painter associated with the Bengal School of Art, known for his role in advancing modern Indian art in the early 20th century.
-
C.
Sudha
Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
-
D.
Nana Sahib
Nana Sahib was a prominent Indian aristocrat and leader who played a key role in directing rebel forces against British rule during the Indian Rebellion of 1857.
-
E.
Mrs. Rita
"Mrs. Rita" is a song by the American rock band Gin Blossoms, known for its jangly guitar sound and introspective alternative rock style characteristic of their early 1990s work.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7877f481908a03f1077600e58a |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fd5f44819087df1163b8f703ec |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dcd5cc8190bff5bd153c007866 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 8:44 p.m.