Triple
T4610147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie: A Girl of the Streets |
E100533
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Pete
Pete is a central figure in Stephen Crane’s novella "Maggie: A Girl of the Streets," representing the rough, working-class masculinity of New York’s Bowery slums.
|
E456242
|
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: Pete | Statement: [Maggie: A Girl of the Streets, mainCharacter, Pete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Context triple: [Maggie: A Girl of the Streets, mainCharacter, Pete]
-
A.
Pete
Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
-
B.
Pete
Pete is the young orphaned boy who befriends and is protected by a friendly dragon in the Disney film "Pete's Dragon."
-
C.
Pete
Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
-
D.
Pete
Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
-
E.
Pete
Pete is a fictional character known as the son of Uncle Tom in Harriet Beecher Stowe’s anti-slavery novel "Uncle Tom’s Cabin."
- 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: Pete Triple: [Maggie: A Girl of the Streets, mainCharacter, Pete]
Generated description
Pete is a central figure in Stephen Crane’s novella "Maggie: A Girl of the Streets," representing the rough, working-class masculinity of New York’s Bowery slums.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pete Target entity description: Pete is a central figure in Stephen Crane’s novella "Maggie: A Girl of the Streets," representing the rough, working-class masculinity of New York’s Bowery slums.
-
A.
Pete
Pete is a fictional character known as the son of Uncle Tom in Harriet Beecher Stowe’s anti-slavery novel "Uncle Tom’s Cabin."
-
B.
Pete
Pete is the well-known nickname of Confederate General James Longstreet, one of Robert E. Lee’s principal corps commanders during the American Civil War.
-
C.
Pete
Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
-
D.
Pete
Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
-
E.
Pete
Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59be3300819095e548b488c8f75e |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa7e918881908743818e0645da46 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb6fa3fc8190b79b641025710eb1 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbeddd7c8190955bd3363fec4ca1 |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:12 p.m.