Triple
T12529989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lehmann |
E299536
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Flakes
Flakes is an indie comedy film centered on a quirky New Orleans cereal bar and its eccentric owner and staff.
|
E986243
|
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: Flakes | Statement: [Michael Lehmann, directed, Flakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flakes Context triple: [Michael Lehmann, directed, Flakes]
-
A.
Flake
"Flake" is a laid-back, acoustic surf-folk song by Jack Johnson that helped establish his mellow, beach-inspired musical style.
-
B.
Flaked
Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
-
C.
Flaemmchen
Flaemmchen is a young, ambitious stenographer and aspiring actress in Vicki Baum’s novel (and its film adaptation) "Grand Hotel," representing the struggles and dreams of working-class women in Weimar-era Berlin.
-
D.
Crumble
"Crumble" is a track featured on the comedy album or show "Laugh Track," likely contributing to its humorous or thematic narrative.
-
E.
The Solids
The Solids are an American rock band best known for performing the theme song to the television series "How I Met Your Mother."
- 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: Flakes Triple: [Michael Lehmann, directed, Flakes]
Generated description
Flakes is an indie comedy film centered on a quirky New Orleans cereal bar and its eccentric owner and staff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flakes Target entity description: Flakes is an indie comedy film centered on a quirky New Orleans cereal bar and its eccentric owner and staff.
-
A.
Flake
"Flake" is a laid-back, acoustic surf-folk song by Jack Johnson that helped establish his mellow, beach-inspired musical style.
-
B.
Flaked
Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
-
C.
Flaemmchen
Flaemmchen is a young, ambitious stenographer and aspiring actress in Vicki Baum’s novel (and its film adaptation) "Grand Hotel," representing the struggles and dreams of working-class women in Weimar-era Berlin.
-
D.
Crumble
"Crumble" is a track featured on the comedy album or show "Laugh Track," likely contributing to its humorous or thematic narrative.
-
E.
The Solids
The Solids are an American rock band best known for performing the theme song to the television series "How I Met Your Mother."
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc674e881908673e1f9103cc8be |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7d337c81909ee9ea52158a756f |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:57 p.m.