Triple
T4286297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willow Ufgood |
E97276
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Warwick Davis |
E81885
|
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: Warwick Davis | Statement: [Willow Ufgood, portrayedBy, Warwick Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warwick Davis Context triple: [Willow Ufgood, portrayedBy, Warwick Davis]
-
A.
Warwick Davis
chosen
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.
-
B.
Douglas Henshall
Douglas Henshall is a Scottish actor best known for his roles in the TV series "Primeval" and "Shetland."
-
C.
Mark Firth
Mark Firth was a prominent 19th-century industrialist and philanthropist from Sheffield, England, known for his major contributions to education and civic life in the city.
-
D.
Sam Weaving
Sam Weaving is a child of acclaimed actor Hugo Weaving, known for his roles in films such as "The Matrix" and "The Lord of the Rings."
-
E.
Ciarán Hinds
Ciarán Hinds is an Irish actor known for his versatile performances in film, television, and theatre, with notable roles in works such as "Rome," "There Will Be Blood," and "Game of Thrones."
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505d23d88190a638f2cc2acee9ee |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d06ccbf081908bc23b5f194b9587 |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:08 p.m.