Triple
T20254633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Mailman |
E498652
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Total Control |
—
|
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: Total Control | Statement: [Deborah Mailman, notableWork, Total Control]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Total Control Context triple: [Deborah Mailman, notableWork, Total Control]
-
A.
Total Control
Total Control is a fast-paced thriller novel by David Baldacci that follows a woman uncovering a vast corporate and political conspiracy after her husband’s mysterious disappearance.
-
B.
Total Control
chosen
Total Control is a critically acclaimed Australian television drama series starring Yo-Yo as a politically ambitious Indigenous woman navigating the complexities of national power and identity.
-
C.
Under Control
"Under Control" is a song by the American experimental rock band Ego Death.
-
D.
The Control
The Control is a chapter of the Constitution of the Republic of China that sets out the powers and structure of the Control Yuan, the government’s supervisory and auditing branch.
-
E.
Totally Under Control
Totally Under Control is a 2020 documentary film that critically examines the U.S. government's response to the COVID-19 pandemic.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.