Triple
T11228577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemma Chan |
E265759
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gemma Chan |
E265759
|
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: Gemma Chan | Statement: [Gemma Chan, name, Gemma Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemma Chan Context triple: [Gemma Chan, name, Gemma Chan]
-
A.
Gemma Chan
chosen
Gemma Chan is a British actress known for her roles in films such as "Crazy Rich Asians," "Eternals," and various acclaimed television dramas.
-
B.
Naomi Ackie
Naomi Ackie is a British actress known for her acclaimed performances in film, television, and theatre, including roles in productions such as "Lady Macbeth" and "Star Wars: The Rise of Skywalker."
-
C.
Maria Riva
Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
-
D.
Millicent Simmonds
Millicent Simmonds is a deaf American actress best known for her acclaimed performance in the horror film "A Quiet Place" and its sequel, where her authentic representation of deafness has been widely praised.
-
E.
Kaya Scodelario
Kaya Scodelario is an English actress known for her breakout role in the TV series "Skins" and for starring in major film franchises such as "The Maze Runner" and "Pirates of the Caribbean."
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad33fdf48190a7118c7c30577ec9 |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.