Triple
T10366343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mowgli: Legend of the Jungle |
E244259
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Andy Serkis |
E46056
|
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: Andy Serkis | Statement: [Mowgli: Legend of the Jungle, stars, Andy Serkis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Serkis Context triple: [Mowgli: Legend of the Jungle, stars, Andy Serkis]
-
A.
Andy Serkis
chosen
Andy Serkis is a British actor and filmmaker best known for his pioneering motion-capture performances, particularly as Gollum in The Lord of the Rings film trilogy.
-
B.
Sonny Serkis
Sonny Serkis is a British actor and the son of acclaimed performer and director Andy Serkis.
-
C.
Hugh Lloyd
Hugh Lloyd was a British character actor and comedian best known for his work in mid-20th-century film and television, particularly in comic roles.
-
D.
Warwick Davis
Warwick Davis is an English actor best known for his roles in fantasy and science-fiction films such as "Willow," the "Harry Potter" series, and the "Star Wars" franchise.
-
E.
Douglas Henshall
Douglas Henshall is a Scottish actor best known for his roles in the TV series "Primeval" and "Shetland."
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc10284c8190bcce0f058b88ef0e |
completed | April 10, 2026, 11:16 a.m. |
Created at: April 6, 2026, noon