Triple
T10467299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Piano Lesson (TV film) |
E246829
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Avery
Avery is a character in the television film adaptation of August Wilson's play "The Piano Lesson," serving as a preacher and suitor whose ambitions clash with the family's struggle over their ancestral piano.
|
E865355
|
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: Avery | Statement: [The Piano Lesson (TV film), hasCharacter, Avery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avery Context triple: [The Piano Lesson (TV film), hasCharacter, Avery]
-
A.
Avery
Avery is a publishing imprint known for releasing popular nonfiction books on topics such as health, psychology, and personal growth.
-
B.
Avery
Avery is the middle name of famed Canadian World War I flying ace Billy Bishop.
-
C.
Arons
Arons is the surname of Arnold B. Arons, a prominent American physicist and influential physics education researcher.
-
D.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
E.
Macy
Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
- 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: Avery Triple: [The Piano Lesson (TV film), hasCharacter, Avery]
Generated description
Avery is a character in the television film adaptation of August Wilson's play "The Piano Lesson," serving as a preacher and suitor whose ambitions clash with the family's struggle over their ancestral piano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avery Target entity description: Avery is a character in the television film adaptation of August Wilson's play "The Piano Lesson," serving as a preacher and suitor whose ambitions clash with the family's struggle over their ancestral piano.
-
A.
Avery
Avery is the middle name of famed Canadian World War I flying ace Billy Bishop.
-
B.
Avery
Avery is a publishing imprint known for releasing popular nonfiction books on topics such as health, psychology, and personal growth.
-
C.
Arons
Arons is the surname of Arnold B. Arons, a prominent American physicist and influential physics education researcher.
-
D.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
E.
Macy
Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092e3230819098ab444f73c9bd40 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a2b0d8c88190a1a64bd2bbacabbe |
completed | April 10, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a6560ddc81909d540f78a9413b3e |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 6, 2026, 12:20 p.m.