Triple
T21480778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tammy Tell Me True |
E529982
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Charles Drake |
—
|
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: Charles Drake | Statement: [Tammy Tell Me True, starring, Charles Drake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Drake Context triple: [Tammy Tell Me True, starring, Charles Drake]
-
A.
Charles Drake
chosen
Charles Drake was an American character actor known for his supporting roles in numerous films and television series from the 1940s through the 1970s.
-
B.
Christopher Drake
Christopher Drake is a film and television composer best known for his work on animated DC Comics projects, including multiple Batman and Justice League films.
-
C.
Ralph Grey
Ralph Grey was a Jacobite nobleman involved in the 1715 uprising who was imprisoned in the Tower of London and later executed for treason.
-
D.
John Hawkins
John Hawkins was a 16th-century English naval commander and privateer who played a key role in early English seafaring, the transatlantic slave trade, and conflicts with Spain.
-
E.
John Hawkins
John Hawkins is an author best known for writing the work that inspired the film "Crime Wave."
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1b0130819088b8e96ddbb29317 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:20 p.m.