Triple
T17243999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Walsh |
E418573
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Martha Byrne |
E444396
|
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: Martha Byrne | Statement: [Lily Walsh, portrayedBy, Martha Byrne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Byrne Context triple: [Lily Walsh, portrayedBy, Martha Byrne]
-
A.
Martha Byrne
chosen
Martha Byrne is an American actress best known for her long-running, Emmy-winning role as Lily Walsh Snyder on the soap opera "As the World Turns."
-
B.
Martha Hennessy
Martha Hennessy is an American Catholic peace activist and granddaughter of Dorothy Day, known for her involvement in the Catholic Worker Movement and anti-nuclear protests.
-
C.
Mary Fogarty
Mary Fogarty is a notable individual distinguished enough to be specifically cited as a prominent bearer of the Fogarty surname.
-
D.
Catherine Leahy
Catherine Leahy is a notable individual who shares the surname Leahy, recognized enough to be specifically cited as a bearer of the name.
-
E.
Margaret O'Leary
Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21bb5c8190ad960f231fe54665 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d75acf8c819097af363f3ba93ae0 |
completed | May 13, 2026, 1:43 a.m. |
Created at: April 10, 2026, 5:39 a.m.