Triple
T6889434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Abyss |
E159007
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Joel Goodman
Joel Goodman is a film editor known for his work on the movie "The Abyss."
|
E625758
|
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: Joel Goodman | Statement: [The Abyss, editedBy, Joel Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Goodman Context triple: [The Abyss, editedBy, Joel Goodman]
-
A.
Brian Goodman
Brian Goodman is an American actor and director known for his character roles in film and television, including a notable part in the crime drama series "Rizzoli & Isles."
-
B.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
C.
Joel Berez
Joel Berez is an American businessman best known as a co-founder and early leader of the pioneering interactive fiction game company Infocom.
-
D.
Jake Adelstein
Jake Adelstein is an American journalist and author best known for his memoir "Tokyo Vice," which chronicles his experiences reporting on crime and the yakuza for a major Japanese newspaper.
-
E.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
- 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: Joel Goodman Triple: [The Abyss, editedBy, Joel Goodman]
Generated description
Joel Goodman is a film editor known for his work on the movie "The Abyss."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joel Goodman Target entity description: Joel Goodman is a film editor known for his work on the movie "The Abyss."
-
A.
Brian Goodman
Brian Goodman is an American actor and director known for his character roles in film and television, including a notable part in the crime drama series "Rizzoli & Isles."
-
B.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
C.
Joel Berez
Joel Berez is an American businessman best known as a co-founder and early leader of the pioneering interactive fiction game company Infocom.
-
D.
Jake Adelstein
Jake Adelstein is an American journalist and author best known for his memoir "Tokyo Vice," which chronicles his experiences reporting on crime and the yakuza for a major Japanese newspaper.
-
E.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742e71bcc81908231a861be47b7db |
completed | March 28, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69c744036378819083a3be5c50b189b2 |
completed | March 28, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c744eb1cf88190aaf90198d04d4500 |
completed | March 28, 2026, 3:03 a.m. |
Created at: March 27, 2026, 2:23 p.m.