Triple
T1231254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey |
E26446
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Larry Price
Larry Price is an author known for his work on the animated series "Honey."
|
E153231
|
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: Larry Price | Statement: [Honey, writer, Larry Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Price Context triple: [Honey, writer, Larry Price]
-
A.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
B.
Richie Bucher
Richie Bucher is an artist best known for creating the cover artwork for Green Day’s breakthrough album "Dookie."
-
C.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
D.
Ken Price
Ken Price was an influential American sculptor and ceramic artist known for his brightly colored, biomorphic forms that helped redefine contemporary ceramics in the 20th century.
-
E.
Bill Barber
Bill Barber is a Hall of Fame left winger best known as a key offensive star of the Philadelphia Flyers' 1970s Stanley Cup–winning teams.
- 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: Larry Price Triple: [Honey, writer, Larry Price]
Generated description
Larry Price is an author known for his work on the animated series "Honey."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Price Target entity description: Larry Price is an author known for his work on the animated series "Honey."
-
A.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
B.
Richie Bucher
Richie Bucher is an artist best known for creating the cover artwork for Green Day’s breakthrough album "Dookie."
-
C.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
D.
Ken Price
Ken Price was an influential American sculptor and ceramic artist known for his brightly colored, biomorphic forms that helped redefine contemporary ceramics in the 20th century.
-
E.
Bill Barber
Bill Barber is a Hall of Fame left winger best known as a key offensive star of the Philadelphia Flyers' 1970s Stanley Cup–winning teams.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5a25348190a0665b6324c4d8f5 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc61b45748190a12e1aec029b76df |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc697fdc8819081b8e06981417064 |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc722d8608190acbef82f180b75d1 |
completed | March 8, 2026, 12:47 a.m. |
Created at: March 1, 2026, 7:47 p.m.