Triple
T20610037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silk |
E506423
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Martha Costello |
—
|
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: Martha Costello | Statement: [Silk, mainCharacter, Martha Costello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Costello Context triple: [Silk, mainCharacter, Martha Costello]
-
A.
Martha Costello
chosen
Martha Costello is the ambitious, idealistic barrister protagonist of the British legal drama series "Silk."
-
B.
Martha Kearney
Martha Kearney is a British journalist and broadcaster best known as a prominent presenter on BBC radio and television, including flagship programmes such as Woman’s Hour and The World at One.
-
C.
Martha Quinn
Martha Quinn is an American television personality and one of MTV’s original video jockeys, known for helping define the channel’s early 1980s music culture.
-
D.
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.
-
E.
Martha Farnsworth
Martha Farnsworth is the strict yet protective headmistress of a Southern girls’ school in the American Civil War–era drama film "The Beguiled" (2017).
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.