Triple
T5676524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Make It in America |
E125098
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Rob Weiss |
E538195
|
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: Rob Weiss | Statement: [How to Make It in America, executiveProducer, Rob Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Weiss Context triple: [How to Make It in America, executiveProducer, Rob Weiss]
-
A.
Rob Weiss
chosen
Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
-
B.
Robert Weiss
Robert Weiss is a relatively common personal name shared by multiple individuals across various professions, including the arts, sciences, and public life.
-
C.
Michael Weiss
Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
-
D.
Andrew Weiss
Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
-
E.
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023728f488190a3622844d78caa13 |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3211b08190868811db3d5268b1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:43 p.m.