Triple
T7436355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black and White in Color |
E171624
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Telecip
Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
|
E663446
|
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: Telecip | Statement: [Black and White in Color, productionCompany, Telecip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telecip Context triple: [Black and White in Color, productionCompany, Telecip]
-
A.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
-
B.
Telegin
Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
-
C.
Telefon
"Telefon" is a 1977 Cold War espionage thriller film starring Charles Bronson, directed by Don Siegel, about a Soviet plot involving sleeper agents in the United States.
-
D.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
E.
Telefon Bay
Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
- 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: Telecip Triple: [Black and White in Color, productionCompany, Telecip]
Generated description
Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telecip Target entity description: Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
-
A.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
-
B.
Telegin
Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
-
C.
Telefon
"Telefon" is a 1977 Cold War espionage thriller film starring Charles Bronson, directed by Don Siegel, about a Soviet plot involving sleeper agents in the United States.
-
D.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
E.
Telefon Bay
Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f228014819088220b2cefc3ee41 |
completed | March 28, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_69c81febb48c8190893a78608027a4c7 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82112c894819096101fb506af7432 |
completed | March 28, 2026, 6:42 p.m. |
Created at: March 27, 2026, 3:13 p.m.