Triple
T13933953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Smith |
E335062
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Maggie-Now
Maggie-Now is a novel by American author Betty Smith, best known for its portrayal of Irish-American family life in early 20th-century Brooklyn.
|
E1070326
|
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: Maggie-Now | Statement: [Betty Smith, notableWork, Maggie-Now]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggie-Now Context triple: [Betty Smith, notableWork, Maggie-Now]
-
A.
The Maggie
The Maggie is a 1954 British comedy film about a wily Scottish boat captain, produced by Ealing Studios and noted for its gentle humor and character-driven storytelling.
-
B.
Maggie
Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
-
C.
Maggie
Maggie is a character portrayed by Australian actress Robin McLeavy, best known from the horror film "The Loved Ones."
-
D.
Maggie
Maggie is a central character in the 1992 British ensemble comedy-drama film "Peter’s Friends," which follows a group of Cambridge university friends reuniting after a decade.
-
E.
Maggie
Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
- 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: Maggie-Now Triple: [Betty Smith, notableWork, Maggie-Now]
Generated description
Maggie-Now is a novel by American author Betty Smith, best known for its portrayal of Irish-American family life in early 20th-century Brooklyn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maggie-Now Target entity description: Maggie-Now is a novel by American author Betty Smith, best known for its portrayal of Irish-American family life in early 20th-century Brooklyn.
-
A.
The Maggie
The Maggie is a 1954 British comedy film about a wily Scottish boat captain, produced by Ealing Studios and noted for its gentle humor and character-driven storytelling.
-
B.
Maggie
Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
-
C.
Maggie
Maggie is a character portrayed by Australian actress Robin McLeavy, best known from the horror film "The Loved Ones."
-
D.
Maggie
Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
-
E.
Maggie
"Maggie" is a novel by American author Charles Martin, known for its emotionally driven storytelling and themes of love, loss, and redemption.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb14bfa2c081908381bb74f040c6c8 |
completed | May 6, 2026, 10:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.