Triple
T22972946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garage Days |
E571236
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Michael Udesky
Michael Udesky is a screenwriter best known for his work on the film "Garage Days."
|
E1563293
|
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 Udesky | Statement: [Garage Days, screenwriter, Michael Udesky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Udesky Context triple: [Garage Days, screenwriter, Michael Udesky]
-
A.
Michael Sarnoski
Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
-
B.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
-
C.
Chris Urbanowicz
Chris Urbanowicz is a British guitarist and songwriter best known as a founding member and lead guitarist of the indie rock band Editors.
-
D.
Michael Mellender
Michael Mellender is a multi-instrumentalist and experimental musician best known for his work with the avant-garde rock band Sleepytime Gorilla Museum.
-
E.
Michael Lucker
Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
- 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 Udesky Triple: [Garage Days, screenwriter, Michael Udesky]
Generated description
Michael Udesky is a screenwriter best known for his work on the film "Garage Days."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Udesky Target entity description: Michael Udesky is a screenwriter best known for his work on the film "Garage Days."
-
A.
Michael Sarnoski
Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
-
B.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
-
C.
Chris Urbanowicz
Chris Urbanowicz is a British guitarist and songwriter best known as a founding member and lead guitarist of the indie rock band Editors.
-
D.
Michael Mellender
Michael Mellender is a multi-instrumentalist and experimental musician best known for his work with the avant-garde rock band Sleepytime Gorilla Museum.
-
E.
Michael Lucker
Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca28333c8190b517c2f4755e2e38 |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcacba35881909ee124b27afc9df4 |
completed | May 19, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcba855d4819081d61e217b3747b0 |
completed | May 19, 2026, 2:32 a.m. |
Created at: April 17, 2026, 3:48 p.m.