Triple
T19118196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lia McHugh |
E467963
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lia McHugh |
—
|
NE NERFINISHED |
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: Lia McHugh | Statement: [Lia McHugh, name, Lia McHugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lia McHugh Context triple: [Lia McHugh, name, Lia McHugh]
-
A.
Lia McHugh
chosen
Lia McHugh is an American actress best known for her role as the Eternal Sprite in the Marvel Cinematic Universe film "Eternals."
-
B.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
-
C.
Kate McTiernan
Kate McTiernan is a fictional kidnapping survivor and key supporting character in the thriller film "Kiss the Girls."
-
D.
Laura Monaghan
Laura Monaghan is an Australian actress best known for her leading role in the acclaimed film "Rabbit-Proof Fence," which portrays the experiences of Aboriginal children of the Stolen Generations.
-
E.
Marnie McPhail
Marnie McPhail is a Canadian actress known for her work in film and television, including roles in both live-action and animated productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c756a88190942930e6ae7242a7 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.