Triple
T6559148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Nelson |
E152530
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Tracy Nelson |
E11627
|
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: Tracy Nelson | Statement: [David Nelson, child, Tracy Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Nelson Context triple: [David Nelson, child, Tracy Nelson]
-
A.
Tracy Nelson
chosen
Tracy Nelson is an American actress and author best known for her roles in the television series "Square Pegs" and "Father Dowling Mysteries."
-
B.
Ronnie Gilbert
Ronnie Gilbert was an American folk singer and activist best known as the powerful contralto voice of the influential folk group The Weavers.
-
C.
Amy Lou Adams
Amy Lou Adams is an acclaimed American actress known for her versatile performances in both comedic and dramatic films, including roles in "Enchanted," "American Hustle," and "Arrival."
-
D.
Nancy Travis
Nancy Travis is an American actress known for her work in film and television, including prominent roles in series like "The Kominsky Method" and "Last Man Standing."
-
E.
Donna Dixon
Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae202e508190a08a0c0584648b83 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55c817481908f570b85a6b407f9 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:52 p.m.