Triple
T8440989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Freamon |
E199349
|
entity |
| Predicate | mentorTo |
P32710
|
FINISHED |
| Object | Kima Greggs |
E285658
|
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: Kima Greggs | Statement: [Lester Freamon, mentorTo, Kima Greggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kima Greggs Context triple: [Lester Freamon, mentorTo, Kima Greggs]
-
A.
Kima Greggs
chosen
Kima Greggs is a principled and sharp Baltimore police detective in the television series "The Wire," known for her dedication to her work and her role as one of the show's central moral anchors.
-
B.
Kymberly Kalil
Kymberly Kalil is an American actress known for her work in film and television and for being married to actor William Fichtner.
-
C.
Melissa Gimble
Melissa Gimble is one of the central protagonists of the musical comedy series "Schmigadoon!", a modern woman who finds herself trapped in a fantastical, Golden Age-style musical town.
-
D.
Kelli Williams
Kelli Williams is an American actress best known for her television roles in series such as "The Practice" and "Lie to Me."
-
E.
Kelley O'Hara
Kelley O'Hara is an American professional soccer player and World Cup–winning defender known for her versatility and long tenure with the U.S. women’s national team.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe138a94081908e306d22aaa39b24 |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf27e1bda481909062b9259a168eb0 |
completed | April 3, 2026, 2:37 a.m. |
Created at: March 30, 2026, 6:08 p.m.