Triple
T19393273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junebug |
E485120
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mindy Goldberg
Mindy Goldberg is a film producer best known for her work on acclaimed independent movies such as "Junebug."
|
E1383244
|
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: Mindy Goldberg | Statement: [Junebug, producer, Mindy Goldberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindy Goldberg Context triple: [Junebug, producer, Mindy Goldberg]
-
A.
Tina Goldstein
Tina Goldstein is a determined American Auror in the Wizarding World franchise, prominently featured as a key ally of Newt Scamander in the Fantastic Beasts film series.
-
B.
Mindi Dickstein
Mindi Dickstein is an American lyricist and librettist best known for her work on the Broadway musical adaptation of "Little Women."
-
C.
Sarah Goldberg
Sarah Goldberg is a Canadian actress best known for her acclaimed role as aspiring actress Sally Reed on the dark comedy television series "Barry."
-
D.
Stacey Mindich
Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
-
E.
Rachel Lee Goldenberg
Rachel Lee Goldenberg is an American film and television director, writer, and producer known for her work on comedy and female-driven 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: Mindy Goldberg Triple: [Junebug, producer, Mindy Goldberg]
Generated description
Mindy Goldberg is a film producer best known for her work on acclaimed independent movies such as "Junebug."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mindy Goldberg Target entity description: Mindy Goldberg is a film producer best known for her work on acclaimed independent movies such as "Junebug."
-
A.
Tina Goldstein
Tina Goldstein is a determined American Auror in the Wizarding World franchise, prominently featured as a key ally of Newt Scamander in the Fantastic Beasts film series.
-
B.
Mindi Dickstein
Mindi Dickstein is an American lyricist and librettist best known for her work on the Broadway musical adaptation of "Little Women."
-
C.
Sarah Goldberg
Sarah Goldberg is a Canadian actress best known for her acclaimed role as aspiring actress Sally Reed on the dark comedy television series "Barry."
-
D.
Stacey Mindich
Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
-
E.
Rachel Lee Goldenberg
Rachel Lee Goldenberg is an American film and television director, writer, and producer known for her work on comedy and female-driven 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b468dd88190acd82b4ee33bd39b |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0757681f188190841c6fae6bf7abbd |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758be89108190adb2369750eb90ca |
completed | May 15, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07599d4c988190a32a0aa9e561a61d |
completed | May 15, 2026, 5:36 p.m. |
Created at: April 10, 2026, 1:36 p.m.