Triple
T6478547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juice |
E146131
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Gerard Brown
Gerard Brown is a screenwriter best known for co-writing the 1992 crime drama film "Juice."
|
E621237
|
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: Gerard Brown | Statement: [Juice, writer, Gerard Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerard Brown Context triple: [Juice, writer, Gerard Brown]
-
A.
Gerard Alexander
Gerard Alexander is an American political scientist known for his work on democratic institutions, conservative politics, and the dynamics of political polarization.
-
B.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
C.
Bernard Gribble
Bernard Gribble was a British film editor known for his work on numerous feature films and television productions from the mid-20th century onward.
-
D.
Gerard Kearns
Gerard Kearns is an English actor best known for his role as Ian Gallagher in the TV series "Shameless" and for appearances in films such as "Looking for Eric."
-
E.
Warren Brown
Warren Brown is a British actor best known for his role as DS Justin Ripley in the crime drama series "Luther."
- 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: Gerard Brown Triple: [Juice, writer, Gerard Brown]
Generated description
Gerard Brown is a screenwriter best known for co-writing the 1992 crime drama film "Juice."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gerard Brown Target entity description: Gerard Brown is a screenwriter best known for co-writing the 1992 crime drama film "Juice."
-
A.
Gerard Alexander
Gerard Alexander is an American political scientist known for his work on democratic institutions, conservative politics, and the dynamics of political polarization.
-
B.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
C.
Bernard Gribble
Bernard Gribble was a British film editor known for his work on numerous feature films and television productions from the mid-20th century onward.
-
D.
Gerard Kearns
Gerard Kearns is an English actor best known for his role as Ian Gallagher in the TV series "Shameless" and for appearances in films such as "Looking for Eric."
-
E.
Warren Brown
Warren Brown is a British actor best known for his role as DS Justin Ripley in the crime drama series "Luther."
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4d35f08190a94143367b1d45c5 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723aba0f0819091ba9aa4184bf1d5 |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c72485150081908ce170d526a9b7bd |
completed | March 28, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7250865808190a1d20e8fe6f9de49 |
completed | March 28, 2026, 12:47 a.m. |
Created at: March 22, 2026, 4:51 p.m.