Triple
T7442641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazaam |
E171791
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Christopher Godsick |
E325153
|
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: Christopher Godsick | Statement: [Kazaam, producer, Christopher Godsick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Godsick Context triple: [Kazaam, producer, Christopher Godsick]
-
A.
Christopher Godsick
chosen
Christopher Godsick is a television producer best known for his executive production work on acclaimed comedy series such as "Veep."
-
B.
Edward Holcroft
Edward Holcroft is a British actor known for his roles in film and television, including appearances in the Kingsman franchise and the series London Spy.
-
C.
Charles Giblyn
Charles Giblyn was an early 20th-century American film director and actor active during the silent film era.
-
D.
Henry Sharp
Henry Sharp was an American cinematographer known for his work on numerous early 20th-century films, including the adventure drama "The Iron Mask."
-
E.
Philip Mannering
Philip Mannering is one of the main child protagonists in Enid Blyton’s "Adventure" series, known for his bravery, leadership, and love of animals.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36d0fbc81908cb7cfe99f80de08 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8279c9cec8190bde450f845f7d0ea |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:13 p.m.