Triple
T10493365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pygmalion (1938 film) |
E247472
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
David Tree
David Tree was a British actor active in the mid-20th century, known for his roles in classic films and stage productions.
|
E867677
|
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: David Tree | Statement: [Pygmalion (1938 film), starring, David Tree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Tree Context triple: [Pygmalion (1938 film), starring, David Tree]
-
A.
Donald McHenry
Donald McHenry is an American diplomat best known for serving as U.S. Ambassador to the United Nations during the Carter administration.
-
B.
Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
-
C.
Bill Steele
Bill Steele is a Canadian municipal politician who serves as the mayor of Port Colborne, Ontario.
-
D.
Frank Hague
Frank Hague was a powerful and controversial early 20th-century mayor of Jersey City, New Jersey, known for his political machine and involvement in landmark civil liberties cases.
-
E.
Roger Davis
Roger Davis is a central character in the musical "Rent," a struggling filmmaker and former rock musician grappling with love, loss, and life in New York City's East Village during the AIDS crisis.
- 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: David Tree Triple: [Pygmalion (1938 film), starring, David Tree]
Generated description
David Tree was a British actor active in the mid-20th century, known for his roles in classic films and stage productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Tree Target entity description: David Tree was a British actor active in the mid-20th century, known for his roles in classic films and stage productions.
-
A.
Donald McHenry
Donald McHenry is an American diplomat best known for serving as U.S. Ambassador to the United Nations during the Carter administration.
-
B.
Don Dodson
Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
-
C.
Bill Steele
Bill Steele is a Canadian municipal politician who serves as the mayor of Port Colborne, Ontario.
-
D.
Frank Hague
Frank Hague was a powerful and controversial early 20th-century mayor of Jersey City, New Jersey, known for his political machine and involvement in landmark civil liberties cases.
-
E.
Roger Davis
Roger Davis is a central character in the musical "Rent," a struggling filmmaker and former rock musician grappling with love, loss, and life in New York City's East Village during the AIDS crisis.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ecbec8190807c4fcc85662026 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcaeb6088190829b6c26eb1de7d5 |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c8e360819085376d4c4ea9712d |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.