Triple
T14658198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up in Smoke |
E344163
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Scott Conrad |
E64318
|
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: Scott Conrad | Statement: [Up in Smoke, editedBy, Scott Conrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Conrad Context triple: [Up in Smoke, editedBy, Scott Conrad]
-
A.
Scott Conrad
chosen
Scott Conrad is a film editor best known for his Academy Award-winning work on the boxing drama "Rocky."
-
B.
Tom Huffman
Tom Huffman is a television producer best known for serving as an executive producer on the reality series "Basketball Wives."
-
C.
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
D.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
-
E.
Clay Pell
Clay Pell is an American lawyer, military officer, and former U.S. Deputy Assistant Secretary of Education who is also known for his marriage to figure skating champion Michelle Kwan.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e01cd081909c71fdcf67c3b1f5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.