Triple
T5119007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Mathis |
E115412
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | June Mathis |
E115412
|
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: June Mathis | Statement: [June Mathis, name, June Mathis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Mathis Context triple: [June Mathis, name, June Mathis]
-
A.
June Mathis
chosen
June Mathis was a pioneering American screenwriter and film executive of the silent era, best known for discovering Rudolph Valentino and shaping several major early Hollywood productions.
-
B.
Jody Powell
Jody Powell was an American political consultant and press secretary best known for serving as White House Press Secretary under President Jimmy Carter.
-
C.
Rene Mathis
René Mathis is a recurring French intelligence ally of James Bond in Ian Fleming’s 007 novels and their adaptations.
-
D.
Lynn Harris
Lynn Harris is a film producer known for her work on major Hollywood movies, including the action-horror sequel "Blade II."
-
E.
Lemon Breeland
Lemon Breeland is a central character on the TV series "Hart of Dixie," known as a prim and proper Southern belle whose personal growth and complicated relationships drive much of the show's drama and humor.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77cf6590819081488b739efae32c |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4a6a7988190b9beec3f0d9494d1 |
completed | March 21, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:42 p.m.