Triple
T20517629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Woodcock |
E503720
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Tami Reiker |
—
|
NE NERFINISHED |
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: Tami Reiker | Statement: [Mr. Woodcock, cinematographyBy, Tami Reiker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tami Reiker Context triple: [Mr. Woodcock, cinematographyBy, Tami Reiker]
-
A.
Tami Reiker
chosen
Tami Reiker is an American cinematographer known for her visually striking work on films and television, including the acclaimed drama "One Night in Miami..." and the series "Carnivàle."
-
B.
Tami Fisher
Tami Fisher is a former collegiate volleyball player who competed for the Stanford Cardinal women's volleyball program.
-
C.
Lori Peters
Lori Peters is an American drummer best known for her tenure with the Christian rock band Skillet.
-
D.
Tami Taylor
Tami Taylor is a compassionate high school guidance counselor and the strong, morally grounded wife of coach Eric Taylor in the television series "Friday Night Lights."
-
E.
Tanya Reynolds
Tanya Reynolds is a British actress best known for her role as Lily Iglehart in the Netflix series "Sex Education."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.