Triple
T22282647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Duryea |
E550772
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Big Chance
The Big Chance is a 1933 American crime drama film starring George Duryea (later known as Tom Keene).
|
E1528612
|
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: The Big Chance | Statement: [George Duryea, notableWork, The Big Chance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Chance Context triple: [George Duryea, notableWork, The Big Chance]
-
A.
The Main Chance
The Main Chance is a British television legal drama series from the late 1960s and early 1970s, centered on an ambitious solicitor navigating complex cases and moral dilemmas.
-
B.
By Chance
"By Chance" is a hip hop song by American rap duo Rae Sremmurd, released as a single from their second studio album, *SremmLife 2*.
-
C.
The Lucky Chance
The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
-
D.
Given a Chance
"Given a Chance" is a song featured on the R&B album "Tender Lover" by American singer-songwriter and producer Babyface.
-
E.
Come By Chance
Come By Chance is a small coastal town in Newfoundland and Labrador, Canada, known for its major oil refinery and port facilities.
- 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: The Big Chance Triple: [George Duryea, notableWork, The Big Chance]
Generated description
The Big Chance is a 1933 American crime drama film starring George Duryea (later known as Tom Keene).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Big Chance Target entity description: The Big Chance is a 1933 American crime drama film starring George Duryea (later known as Tom Keene).
-
A.
The Main Chance
The Main Chance is a British television legal drama series from the late 1960s and early 1970s, centered on an ambitious solicitor navigating complex cases and moral dilemmas.
-
B.
By Chance
"By Chance" is a hip hop song by American rap duo Rae Sremmurd, released as a single from their second studio album, *SremmLife 2*.
-
C.
The Lucky Chance
The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
-
D.
Given a Chance
"Given a Chance" is a song featured on the R&B album "Tender Lover" by American singer-songwriter and producer Babyface.
-
E.
Come By Chance
Come By Chance is a small coastal town in Newfoundland and Labrador, Canada, known for its major oil refinery and port facilities.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eacd6cc8190812c6f672641050e |
completed | April 29, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcaa46788190970d08e2328d5503 |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abdba268881908b936c0abf539a39 |
completed | May 18, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf213878819085413d22a824fe58 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:40 p.m.