Triple
T6349577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Hilty |
E142834
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Megan Hilty |
E142834
|
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: Megan Hilty | Statement: [Megan Hilty, name, Megan Hilty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Hilty Context triple: [Megan Hilty, name, Megan Hilty]
-
A.
Megan Hilty
chosen
Megan Hilty is an American actress and singer best known for her Broadway work and her role as Ivy Lynn on the television musical drama "Smash."
-
B.
Kristin Chenoweth
Kristin Chenoweth is an American actress and singer best known for her Tony-winning and Emmy-winning performances on Broadway and television, including originating the role of Glinda in the musical "Wicked."
-
C.
Jennifer Holden
Jennifer Holden is an American actress best known for her role opposite Elvis Presley in the 1957 musical drama film "Jailhouse Rock."
-
D.
Denise Gaines
Denise Gaines is a central love interest and professional colleague of Sherman Klump in the comedy film "Nutty Professor II: The Klumps."
-
E.
Teala Loring
Teala Loring was an American film actress of the 1940s, known for her supporting roles in Hollywood features and as one of several sisters who also worked in the entertainment industry.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bcec2c8190bb383605847b0f0b |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f6514948190a5562201e7b36e27 |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 22, 2026, 4:31 p.m.