Triple
T18944012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Suburbans |
E463459
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Michael Mayers
Michael Mayers is a cinematographer best known for his work on the film "The Suburbans."
|
E1350587
|
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: Michael Mayers | Statement: [The Suburbans, cinematography, Michael Mayers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Mayers Context triple: [The Suburbans, cinematography, Michael Mayers]
-
A.
Peter Jeffrey
Peter Jeffrey was a British character actor known for his extensive work in film, television, and theatre from the 1950s through the 1990s.
-
B.
Richard Leigh
Richard Leigh was a British author best known as a co-writer of the controversial historical conspiracy book "The Holy Blood and the Holy Grail."
-
C.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
-
D.
Tony Silvester
Tony Silvester was an American soul singer best known as a founding member and vocalist of the R&B group The Main Ingredient.
-
E.
Colin Bates
Colin Bates is a character in the crime drama film "The Mule," involved in the story's drug trafficking operations.
- 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: Michael Mayers Triple: [The Suburbans, cinematography, Michael Mayers]
Generated description
Michael Mayers is a cinematographer best known for his work on the film "The Suburbans."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Mayers Target entity description: Michael Mayers is a cinematographer best known for his work on the film "The Suburbans."
-
A.
Peter Jeffrey
Peter Jeffrey was a British character actor known for his extensive work in film, television, and theatre from the 1950s through the 1990s.
-
B.
Richard Leigh
Richard Leigh was a British author best known as a co-writer of the controversial historical conspiracy book "The Holy Blood and the Holy Grail."
-
C.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
-
D.
Tony Silvester
Tony Silvester was an American soul singer best known as a founding member and vocalist of the R&B group The Main Ingredient.
-
E.
Colin Bates
Colin Bates is a character in the crime drama film "The Mule," involved in the story's drug trafficking operations.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53e6e0c81908a547e21c4819bac |
completed | April 20, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fc93e0c81908cc4b9755036ea29 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a1b640488190934aa468b3638841 |
completed | May 14, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a21b8a7c81909ad3f4148842e4c1 |
completed | May 14, 2026, 10:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.