Triple
T14816480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Pulcini |
E348330
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Pulcini |
E348330
|
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: Robert Pulcini | Statement: [Robert Pulcini, name, Robert Pulcini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Pulcini Context triple: [Robert Pulcini, name, Robert Pulcini]
-
A.
Robert Pulcini
chosen
Robert Pulcini is an American filmmaker and screenwriter best known for co-writing and co-directing acclaimed independent films such as "American Splendor" alongside his creative partner and wife, Shari Springer Berman.
-
B.
Robert Palumbo
Robert Palumbo is a television producer best known for serving as an executive producer on the science fiction series "Mars."
-
C.
Carl Pingitore
Carl Pingitore was a film editor best known for his work on major Hollywood productions, including the iconic crime thriller "Dirty Harry."
-
D.
Lou DeMattei
Lou DeMattei is an American tax attorney best known as the longtime husband of acclaimed novelist Amy Tan.
-
E.
Robert Glaudini
Robert Glaudini is an American playwright, screenwriter, and actor best known for writing the play "Jack Goes Boating," which he later adapted for the film version.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1de868819084d71f75210d14f5 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 1:49 a.m.