Triple
T2369673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Serkis |
E46056
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Louis Serkis |
E268774
|
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: Louis Serkis | Statement: [Andy Serkis, hasChild, Louis Serkis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Serkis Context triple: [Andy Serkis, hasChild, Louis Serkis]
-
A.
Sonny Serkis
chosen
Sonny Serkis is a British actor and the son of acclaimed performer and director Andy Serkis.
-
B.
Andy Serkis
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.
-
C.
Doug Jones
Doug Jones is an American actor best known for his physically transformative performances as fantastical creatures in films such as those directed by Guillermo del Toro.
-
D.
Toby Jones
Toby Jones is an English character actor known for his versatile performances in film, television, and theatre, including roles in projects such as "Infamous," the "Harry Potter" series, and "The Hunger Games."
-
E.
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.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76dcaa481908567a068bd61e5ad |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1776d8d08190a7aae0969019d8f7 |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:56 p.m.