Triple
T14146433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Station |
E350561
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Marcos Bernstein
Marcos Bernstein is a Brazilian screenwriter and filmmaker best known for co-writing the acclaimed film "Central Station."
|
E1081582
|
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: Marcos Bernstein | Statement: [Central Station, writer, Marcos Bernstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcos Bernstein Context triple: [Central Station, writer, Marcos Bernstein]
-
A.
Alejandro Rozitchner
Alejandro Rozitchner is an Argentine writer, philosopher, and public intellectual known for his essays, books, and media work on culture, politics, and personal development.
-
B.
Michael Bernstein
Michael Bernstein is a film producer known for his work on the music documentary "Clive Davis: The Soundtrack of Our Lives."
-
C.
Gabriel Brener
Gabriel Brener is a businessman and investor best known in sports for his former ownership stake in Major League Soccer’s Houston Dynamo.
-
D.
Sandro Stern
Sandro Stern is a screenwriter best known for his work on the horror film "The Amityville Horror."
-
E.
Ruben Goetz
Ruben Goetz is the central protagonist of the work "Copycat," around whom the story’s main events and conflicts revolve.
- 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: Marcos Bernstein Triple: [Central Station, writer, Marcos Bernstein]
Generated description
Marcos Bernstein is a Brazilian screenwriter and filmmaker best known for co-writing the acclaimed film "Central Station."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcos Bernstein Target entity description: Marcos Bernstein is a Brazilian screenwriter and filmmaker best known for co-writing the acclaimed film "Central Station."
-
A.
Alejandro Rozitchner
Alejandro Rozitchner is an Argentine writer, philosopher, and public intellectual known for his essays, books, and media work on culture, politics, and personal development.
-
B.
Michael Bernstein
Michael Bernstein is a film producer known for his work on the music documentary "Clive Davis: The Soundtrack of Our Lives."
-
C.
Gabriel Brener
Gabriel Brener is a businessman and investor best known in sports for his former ownership stake in Major League Soccer’s Houston Dynamo.
-
D.
Sandro Stern
Sandro Stern is a screenwriter best known for his work on the horror film "The Amityville Horror."
-
E.
Ruben Goetz
Ruben Goetz is the central protagonist of the work "Copycat," around whom the story’s main events and conflicts revolve.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1d8c448190bd223258b28fecc9 |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce113c11481908751ecf62afc29a5 |
completed | May 7, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1a848f081909d96849a14230be1 |
completed | May 7, 2026, 7:02 p.m. |
Created at: April 10, 2026, 12:54 a.m.