Triple
T13087814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierson |
E310381
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nils Pierson
Nils Pierson is an individual notable enough to be recognized as a bearer of the surname Pierson.
|
E1032973
|
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: Nils Pierson | Statement: [Pierson, hasNotableBearer, Nils Pierson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nils Pierson Context triple: [Pierson, hasNotableBearer, Nils Pierson]
-
A.
Edward Niland
Edward Niland was one of the Niland brothers, an American family of World War II servicemen whose story partly inspired the film "Saving Private Ryan."
-
B.
Niels Ferguson
Niels Ferguson is a Dutch cryptographer known for his work on symmetric-key algorithms and contributions to modern cryptographic design and analysis.
-
C.
Brawley Nolte
Brawley Nolte is an American former child actor best known for his role in the 1996 thriller film "Ransom" alongside Mel Gibson.
-
D.
Paul Jesperson
Paul Jesperson is an American former college basketball player best known for his memorable half-court buzzer-beater in the 2016 NCAA Tournament while playing for the Northern Iowa Panthers.
-
E.
Peter Lauritson
Peter Lauritson is a television and film producer best known for his extensive work on the Star Trek franchise, including multiple series and feature films.
- 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: Nils Pierson Triple: [Pierson, hasNotableBearer, Nils Pierson]
Generated description
Nils Pierson is an individual notable enough to be recognized as a bearer of the surname Pierson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nils Pierson Target entity description: Nils Pierson is an individual notable enough to be recognized as a bearer of the surname Pierson.
-
A.
Edward Niland
Edward Niland was one of the Niland brothers, an American family of World War II servicemen whose story partly inspired the film "Saving Private Ryan."
-
B.
Niels Ferguson
Niels Ferguson is a Dutch cryptographer known for his work on symmetric-key algorithms and contributions to modern cryptographic design and analysis.
-
C.
Brawley Nolte
Brawley Nolte is an American former child actor best known for his role in the 1996 thriller film "Ransom" alongside Mel Gibson.
-
D.
Paul Jesperson
Paul Jesperson is an American former college basketball player best known for his memorable half-court buzzer-beater in the 2016 NCAA Tournament while playing for the Northern Iowa Panthers.
-
E.
Peter Lauritson
Peter Lauritson is a television and film producer best known for his extensive work on the Star Trek franchise, including multiple series and feature films.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981378dd08190b4f00e4e5df0e480 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716baf00881909a1a11d36cdb8d42 |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f717b7b6dc8190ab323c1926dd9adb |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:02 p.m.