Triple
T16324405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Juniors |
E396375
|
entity |
| Predicate | notableContestant |
P6467
|
FINISHED |
| Object | Lucy Hale |
E1070098
|
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: Lucy Hale | Statement: [American Juniors, notableContestant, Lucy Hale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucy Hale Context triple: [American Juniors, notableContestant, Lucy Hale]
-
A.
Lucy Hale
chosen
Lucy Hale is an American actress and singer best known for her role as Aria Montgomery on the television series "Pretty Little Liars."
-
B.
Lucy Lambert Hale
Lucy Lambert Hale was a prominent 19th-century Washington socialite best known for her secret engagement to Abraham Lincoln’s assassin, John Wilkes Booth.
-
C.
Haley Hudson
Haley Hudson is an American actress best known for her roles in horror and supernatural films and television series.
-
D.
Sydney Sweeney
Sydney Sweeney is an American actress known for her breakout role as Cassie Howard in the HBO drama series "Euphoria" and for her work in both television and film.
-
E.
Jessica Lucas
Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.