Triple
T33854648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Mandil |
E867738
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Norman: The Moderate Rise and Tragic Fall of a New York Fixer
"Norman: The Moderate Rise and Tragic Fall of a New York Fixer" is a 2016 political drama film about a small-time New York operator whose attempts to gain influence through connections with an Israeli politician lead to his undoing.
|
E2071901
|
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: Norman: The Moderate Rise and Tragic Fall of a New York Fixer | Statement: [David Mandil, notableWork, Norman: The Moderate Rise and Tragic Fall of a New York Fixer]
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: Norman: The Moderate Rise and Tragic Fall of a New York Fixer Triple: [David Mandil, notableWork, Norman: The Moderate Rise and Tragic Fall of a New York Fixer]
Generated description
"Norman: The Moderate Rise and Tragic Fall of a New York Fixer" is a 2016 political drama film about a small-time New York operator whose attempts to gain influence through connections with an Israeli politician lead to his undoing.
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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70076bdec8190a109af85bed04c90 |
completed | May 3, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a367619fc288190a6c89cf111d01b5f |
completed | June 20, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_6a3676bcd1c48190be60af977f59ab1c |
completed | June 20, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a367856f37c8190a4ff255c3590592e |
completed | June 20, 2026, 11:24 a.m. |
Created at: May 1, 2026, 1:47 a.m.