Triple
T16291554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva LaRue |
E395534
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eva LaRue |
E395534
|
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: Eva LaRue | Statement: [Eva LaRue, name, Eva LaRue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva LaRue Context triple: [Eva LaRue, name, Eva LaRue]
-
A.
Eva LaRue
chosen
Eva LaRue is an American actress best known for her long-running role as Dr. Maria Santos on the soap opera "All My Children" and for starring as Natalia Boa Vista on the crime drama "CSI: Miami."
-
B.
Eva Trout
Eva Trout is a 1968 novel by Anglo-Irish writer Elizabeth Bowen, known for its experimental narrative and exploration of identity, isolation, and emotional disconnection in modern life.
-
C.
Molly Aster
Molly Aster is a brave, quick-witted young Starcatcher apprentice who serves as the spirited female lead in the play "Peter and the Starcatcher."
-
D.
Evelyn Tremble
Evelyn Tremble is a timid baccarat expert recruited to impersonate James Bond in the 1967 satirical spy film "Casino Royale."
-
E.
Eve Rothlo
Eve Rothlo is a sharp, morally complex defense attorney and longtime love interest of Annalise Keating on the television series "How to Get Away with Murder."
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24919345881909ba4e7fe2e59340f |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f97895081909f22ded3507afe14 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.