Triple
T8190810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Rosenfelt |
E191298
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Max 2: White House Hero
Max 2: White House Hero is a family adventure film about a heroic military dog who becomes involved in protecting the U.S. president’s family.
|
E718248
|
NE FINISHED |
How this triple was built (4 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: Max 2: White House Hero | Statement: [Karen Rosenfelt, notableWork, Max 2: White House Hero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max 2: White House Hero Context triple: [Karen Rosenfelt, notableWork, Max 2: White House Hero]
-
A.
To the Max
"To the Max" is a hit single by the American R&B group Grateful.
-
B.
El Max
El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
-
C.
Live Free or Die Hard
Live Free or Die Hard is a 2007 action film in the Die Hard franchise, following NYPD detective John McClane as he battles cyber-terrorists threatening the United States.
-
D.
Maximum "Max" Ride
Maximum "Max" Ride is a genetically engineered, winged teenage girl who leads a flock of similarly altered children in James Patterson’s sci‑fi adventure series.
-
E.
EI Maxx
EI Maxx was a Latin American sports television channel that later became part of the TNT Sports brand.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Max 2: White House Hero Triple: [Karen Rosenfelt, notableWork, Max 2: White House Hero]
Generated description
Max 2: White House Hero is a family adventure film about a heroic military dog who becomes involved in protecting the U.S. president’s family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max 2: White House Hero Target entity description: Max 2: White House Hero is a family adventure film about a heroic military dog who becomes involved in protecting the U.S. president’s family.
-
A.
To the Max
"To the Max" is a hit single by the American R&B group Grateful.
-
B.
El Max
El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
-
C.
Live Free or Die Hard
Live Free or Die Hard is a 2007 action film in the Die Hard franchise, following NYPD detective John McClane as he battles cyber-terrorists threatening the United States.
-
D.
Maximum "Max" Ride
Maximum "Max" Ride is a genetically engineered, winged teenage girl who leads a flock of similarly altered children in James Patterson’s sci‑fi adventure series.
-
E.
EI Maxx
EI Maxx was a Latin American sports television channel that later became part of the TNT Sports brand.
- F. None of above. chosen
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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced979d408190851088c6d3f4df24 |
completed | April 1, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69ccf1b5f95481909fdb08d00d06023e |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd059457788190a900402ee4cd50d5 |
completed | April 1, 2026, 11:46 a.m. |
Created at: March 30, 2026, 5:41 p.m.