Triple
T19849079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House on Mango Street |
E476946
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Lucy
Lucy is a fictional girl who appears as one of Esperanza’s neighborhood friends in Sandra Cisneros’s coming-of-age novel *The House on Mango Street*.
|
E1398932
|
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: Lucy | Statement: [The House on Mango Street, hasCharacter, Lucy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucy Context triple: [The House on Mango Street, hasCharacter, Lucy]
-
A.
Lucy
Lucy is a NASA Discovery Program space mission designed to study Jupiter’s Trojan asteroids to better understand the early solar system’s formation and evolution.
-
B.
Lucy
Lucy is a character portrayed by actress and filmmaker Alice Englert.
-
C.
Lucy
"Lucy" is a coming-of-age novella by Jamaica Kincaid that follows a young Caribbean woman navigating identity, colonial legacy, and independence while working as an au pair in the United States.
-
D.
Lucy
Lucy is a fictional character named in the context of "Loosies," likely serving as a supporting figure in that film’s narrative.
-
E.
Lucy
Lucy Hawking is a British journalist, novelist, and educator best known for her children’s science books co-written with her father, physicist Stephen Hawking.
- 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: Lucy Triple: [The House on Mango Street, hasCharacter, Lucy]
Generated description
Lucy is a fictional girl who appears as one of Esperanza’s neighborhood friends in Sandra Cisneros’s coming-of-age novel *The House on Mango Street*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucy Target entity description: Lucy is a fictional girl who appears as one of Esperanza’s neighborhood friends in Sandra Cisneros’s coming-of-age novel *The House on Mango Street*.
-
A.
Lucy
Lucy is the young, spirited protagonist of E.M. Forster's novel "A Room with a View," known for her struggle between social convention and personal passion.
-
B.
Lucy
Lucy is a fictional character from the British animated children's television series "Twin Town."
-
C.
Lucy
"Lucy" is a coming-of-age novella by Jamaica Kincaid that follows a young Caribbean woman navigating identity, colonial legacy, and independence while working as an au pair in the United States.
-
D.
Lucy
Lucy is a character portrayed by actress and filmmaker Alice Englert.
-
E.
Lucy
Lucy is a character portrayed by English actress Ellise Chappell, known for her work in film and television.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658664368819082783bc40342a26a |
completed | April 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43eee448190ba75cb9b72227918 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d8429d0c81908d4fdb9e41f6b9f5 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d8afc97c81908be6ddcaf2a6987c |
completed | May 16, 2026, 2:38 a.m. |
Created at: April 10, 2026, 1:51 p.m.