Triple
T21842323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Care a Lot |
E539284
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael Heimler
Michael Heimler is a film producer known for his work on the dark comedy thriller "I Care a Lot."
|
E1510023
|
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 Heimler | Statement: [I Care a Lot, producer, Michael Heimler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Heimler Context triple: [I Care a Lot, producer, Michael Heimler]
-
A.
Daniel Heins
Daniel Heins is the anglicized name of Daniel Heinsius, a prominent Dutch classical scholar and poet of the early 17th century.
-
B.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
C.
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.
-
D.
Eric Meyhofer
Eric Meyhofer is a technology executive best known for leading Uber’s self-driving car efforts as head of the Uber Advanced Technologies Group.
-
E.
Michael Holzer
Michael Holzer is an architect best known as one of the founders of the avant-garde Austrian architecture firm Coop Himmelb(l)au.
- 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 Heimler Triple: [I Care a Lot, producer, Michael Heimler]
Generated description
Michael Heimler is a film producer known for his work on the dark comedy thriller "I Care a Lot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Heimler Target entity description: Michael Heimler is a film producer known for his work on the dark comedy thriller "I Care a Lot."
-
A.
Daniel Heins
Daniel Heins is the anglicized name of Daniel Heinsius, a prominent Dutch classical scholar and poet of the early 17th century.
-
B.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
C.
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.
-
D.
Eric Meyhofer
Eric Meyhofer is a technology executive best known for leading Uber’s self-driving car efforts as head of the Uber Advanced Technologies Group.
-
E.
Michael Holzer
Michael Holzer is an architect best known as one of the founders of the avant-garde Austrian architecture firm Coop Himmelb(l)au.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7acb17c81908c0de0afac5a9fa7 |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a66f47c008190b637d87ac819332d |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a677f3d788190acba362aa3ff80ad |
completed | May 18, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68244250819082094878c9001b5c |
completed | May 18, 2026, 1:15 a.m. |
Created at: April 16, 2026, 6:55 p.m.