Triple
T5877139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kaluuya |
E130653
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daniel Kaluuya |
E130653
|
NE FINISHED |
How this triple was built (2 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: Daniel Kaluuya | Statement: [Daniel Kaluuya, name, Daniel Kaluuya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Kaluuya Context triple: [Daniel Kaluuya, name, Daniel Kaluuya]
-
A.
Daniel Kaluuya
chosen
Daniel Kaluuya is a British actor acclaimed for his powerful performances in films such as "Get Out," "Black Panther," and "Judas and the Black Messiah."
-
B.
Yahya Abdul-Mateen II
Yahya Abdul-Mateen II is an American actor known for his roles in major films and TV series such as "Aquaman," "Watchmen," and "Candyman."
-
C.
André Holland
André Holland is an American actor known for his nuanced performances in film, television, and theater, including prominent roles in projects like "Moonlight" and "High Flying Bird."
-
D.
Kelvin Harrison Jr.
Kelvin Harrison Jr. is an American actor known for his acclaimed performances in films such as "Luce," "Waves," and "The Trial of the Chicago 7."
-
E.
Mahershala Ali
Mahershala Ali is an American actor acclaimed for his powerful performances in films and television, earning multiple Academy Awards and widespread recognition for his nuanced, character-driven roles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03630eefc8190ad1aaa1919ecf97f |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12861c081909f95f1ef6a1f457c |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.