Triple
T6491688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyn Davis |
E148052
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lyn Davis |
E148052
|
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: Lyn Davis | Statement: [Lyn Davis, name, Lyn Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyn Davis Context triple: [Lyn Davis, name, Lyn Davis]
-
A.
Lyn Davis
chosen
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
B.
Diane Lucas
Diane Lucas is a fictional character appearing in the Doctor Who serial "The Silence."
-
C.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
D.
Lisa Davis
Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
-
E.
Sheila Davis
Sheila Davis is a global health leader and nurse who serves as a key executive at the social justice–focused healthcare organization Partners In Health.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8569b932481909d41130303e21518 |
completed | March 28, 2026, 10:30 p.m. |
Created at: March 22, 2026, 4:53 p.m.