Triple
T11340703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Harris |
E268585
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Peter Gurian
Peter Gurian is the son of acclaimed American stage and screen actress Julie Harris.
|
E920438
|
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: Peter Gurian | Statement: [Julie Harris, child, Peter Gurian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Gurian Context triple: [Julie Harris, child, Peter Gurian]
-
A.
Paul Bogaev
Paul Bogaev is a renowned musical director and orchestrator best known for his work on major Broadway productions and film adaptations of stage musicals.
-
B.
Thomas Yatsko
Thomas Yatsko is an American cinematographer and television director known for his work on various films and TV series, including the thriller "The Call" (2013).
-
C.
Edward Chodorov
Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and Broadway.
-
D.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
-
E.
Victor Rasuk
Victor Rasuk is an American actor known for roles in films like "Lords of Dogtown" and "How to Make It in America," as well as supporting parts in major franchises.
- 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: Peter Gurian Triple: [Julie Harris, child, Peter Gurian]
Generated description
Peter Gurian is the son of acclaimed American stage and screen actress Julie Harris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Gurian Target entity description: Peter Gurian is the son of acclaimed American stage and screen actress Julie Harris.
-
A.
Paul Bogaev
Paul Bogaev is a renowned musical director and orchestrator best known for his work on major Broadway productions and film adaptations of stage musicals.
-
B.
Thomas Yatsko
Thomas Yatsko is an American cinematographer and television director known for his work on various films and TV series, including the thriller "The Call" (2013).
-
C.
Edward Chodorov
Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and Broadway.
-
D.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
-
E.
Victor Rasuk
Victor Rasuk is an American actor known for roles in films like "Lords of Dogtown" and "How to Make It in America," as well as supporting parts in major franchises.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea01c6c08190910a6ce8fb7e186d |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5434f04388190813e8beb1b5af55a |
completed | April 19, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69e5474aad3481909c1afb385cb5889b |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54edb9ac08190a760de11857e791c |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.