Triple
T7436872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gattaca |
E171637
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Shamberg |
E387152
|
NE FINISHED |
How this triple was built (2 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: Michael Shamberg | Statement: [Gattaca, producer, Michael Shamberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Shamberg Context triple: [Gattaca, producer, Michael Shamberg]
-
A.
Michael Shamberg
chosen
Michael Shamberg is an American film producer known for his work on acclaimed movies such as "Pulp Fiction," "Erin Brockovich," and "Out of Sight."
-
B.
Tom Schulman
Tom Schulman is an American screenwriter best known for writing the Academy Award–winning screenplay for the film "Dead Poets Society."
-
C.
Adam Shulman
Adam Shulman is an American actor and jewelry designer best known as the husband of actress Anne Hathaway.
-
D.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
E.
Rob Schneider
Rob Schneider is an American actor and comedian known for his roles in numerous Adam Sandler films and other broad Hollywood comedies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f349399c8190b46d5882ece2e73a |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f23afb48190ae57fb952b2721c3 |
completed | March 28, 2026, 6:34 p.m. |
Created at: March 27, 2026, 3:13 p.m.