Triple
T7841946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randolph Fields |
E181825
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object |
Alan Hellary
Alan Hellary is a businessman best known as the business partner of aviation entrepreneur Randolph Fields.
|
E698502
|
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: Alan Hellary | Statement: [Randolph Fields, businessPartner, Alan Hellary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Hellary Context triple: [Randolph Fields, businessPartner, Alan Hellary]
-
A.
Andrew Herr
Andrew Herr is a Canadian actor best known for playing Jonesy, one of the hockey players, on the comedy series "Letterkenny."
-
B.
Michael Athans
Michael Athans was a prominent control theorist and MIT professor known for his pioneering contributions to modern control theory and systems engineering.
-
C.
Alex Katunich
Alex Katunich is an American bassist best known for his work with the rock band Incubus during their early and most commercially successful years.
-
D.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
E.
Mark Heisler
Mark Heisler is an American sports journalist and author best known for his long-time NBA coverage and basketball writing, including work for the Los Angeles Times.
- 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: Alan Hellary Triple: [Randolph Fields, businessPartner, Alan Hellary]
Generated description
Alan Hellary is a businessman best known as the business partner of aviation entrepreneur Randolph Fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Hellary Target entity description: Alan Hellary is a businessman best known as the business partner of aviation entrepreneur Randolph Fields.
-
A.
Andrew Herr
Andrew Herr is a Canadian actor best known for playing Jonesy, one of the hockey players, on the comedy series "Letterkenny."
-
B.
Michael Athans
Michael Athans was a prominent control theorist and MIT professor known for his pioneering contributions to modern control theory and systems engineering.
-
C.
Alex Katunich
Alex Katunich is an American bassist best known for his work with the rock band Incubus during their early and most commercially successful years.
-
D.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
E.
Mark Heisler
Mark Heisler is an American sports journalist and author best known for his long-time NBA coverage and basketball writing, including work for the Los Angeles Times.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c6cbe48190b73df491de1004c3 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ad44ff081908954395aef6ac78b |
completed | March 31, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69cb5f1afe0c8190916c7a9b2eab9270 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb766e41fc8190a08f07d04774053a |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:48 p.m.