Triple
T11344223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Draper |
E268676
|
entity |
| Predicate | stepmother |
P14091
|
FINISHED |
| Object | Megan Draper |
E920602
|
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: Megan Draper | Statement: [Sally Draper, stepmother, Megan Draper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Draper Context triple: [Sally Draper, stepmother, Megan Draper]
-
A.
Megan Draper
chosen
Megan Draper is a character on the television series "Mad Men," known as Don Draper’s second wife and an aspiring actress who transitions from copywriter to performer.
-
B.
Mellie Logan
Mellie Logan is a sharp-witted, resourceful sister in the film "Logan Lucky," known for her crucial role in helping execute the heist.
-
C.
Sally Draper
Sally Draper is the sharp, increasingly independent daughter of Don and Betty Draper in the television series "Mad Men," whose coming-of-age story reflects the social upheavals of 1960s America.
-
D.
Kate Silverton
Kate Silverton is a British journalist and television presenter best known for her work as a BBC newsreader and documentary host.
-
E.
Marcia Griffin
Marcia Griffin, better known as Marcia Lucas, is an American film editor renowned for her Oscar-winning work on the original Star Wars trilogy and her influential contributions to 1970s New Hollywood cinema.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55649a9188190911608fef5894bd8 |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.