Triple
T10512861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Pierson |
E247956
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Michael Pierson
Michael Pierson is the son of acclaimed American screenwriter and director Frank Pierson.
|
E908244
|
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: Michael Pierson | Statement: [Frank Pierson, child, Michael Pierson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Pierson Context triple: [Frank Pierson, child, Michael Pierson]
-
A.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
-
B.
Michael Dorman
Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
-
C.
Michael Gilio
Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
D.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
E.
Michael Pitts
Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
- 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: Michael Pierson Triple: [Frank Pierson, child, Michael Pierson]
Generated description
Michael Pierson is the son of acclaimed American screenwriter and director Frank Pierson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Pierson Target entity description: Michael Pierson is the son of acclaimed American screenwriter and director Frank Pierson.
-
A.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
-
B.
Michael Dorman
Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
-
C.
Michael Gilio
Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
D.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
E.
Michael Pitts
Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509ca214481909b3ed9265e7a6704 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462472ed88190a76b04157c235c80 |
completed | April 19, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69e46c3448348190b2c062d21771066d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e46dadbc5c8190b41279a05731dc95 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 6, 2026, 12:27 p.m.