Triple
T19593219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R.I.P.D. |
E470287
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael Fottrell
Michael Fottrell is a film producer known for working on major Hollywood action and fantasy movies.
|
E278463
|
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 Fottrell | Statement: [R.I.P.D., producer, Michael Fottrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Fottrell Context triple: [R.I.P.D., producer, Michael Fottrell]
-
A.
Michael Fottrell
Michael Fottrell is a film producer best known for his work on major action franchises, including entries in the Fast & Furious series.
-
B.
Michael Ferguson
Michael Ferguson is a television director known for his work on the British soap opera EastEnders.
-
C.
Keith Foulke
Keith Foulke is a former Major League Baseball relief pitcher best known as the Boston Red Sox closer who played a pivotal role in their 2004 World Series championship run.
-
D.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
-
E.
Sean Fletcher
Sean Fletcher is a fictional character from the 1995 romantic comedy film "Nine Months," which centers on the upheaval caused by an unexpected pregnancy.
- 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 Fottrell Triple: [R.I.P.D., producer, Michael Fottrell]
Generated description
Michael Fottrell is a film producer known for working on major Hollywood action and fantasy movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Fottrell Target entity description: Michael Fottrell is a film producer known for working on major Hollywood action and fantasy movies.
-
A.
Michael Fottrell
chosen
Michael Fottrell is a film producer best known for his work on major action franchises, including entries in the Fast & Furious series.
-
B.
Michael Ferguson
Michael Ferguson is a television director known for his work on the British soap opera EastEnders.
-
C.
Keith Foulke
Keith Foulke is a former Major League Baseball relief pitcher best known as the Boston Red Sox closer who played a pivotal role in their 2004 World Series championship run.
-
D.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
-
E.
Sean Fletcher
Sean Fletcher is a fictional character from the 1995 romantic comedy film "Nine Months," which centers on the upheaval caused by an unexpected pregnancy.
- F. None of above.
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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640782e2c8190b5baef07a2bdd015 |
completed | April 20, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4e4dd608190bf960091714663c5 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c6509f4c8190aee658954c6cf920 |
completed | May 16, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c7549de08190916e3e48125beebb |
completed | May 16, 2026, 1:24 a.m. |
Created at: April 10, 2026, 1:43 p.m.