Triple
T20254592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ningali Lawford |
E498651
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ningali Lawford-Wolf |
—
|
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: Ningali Lawford-Wolf | Statement: [Ningali Lawford, alsoKnownAs, Ningali Lawford-Wolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ningali Lawford-Wolf Context triple: [Ningali Lawford, alsoKnownAs, Ningali Lawford-Wolf]
-
A.
Ningali Lawford
chosen
Ningali Lawford was an Australian actress known for her powerful performances in film, television, and theatre, particularly in stories highlighting Indigenous Australian experiences.
-
B.
Marlene Little
Marlene Little is known as the wife of Australian Aboriginal musician and entertainer Jimmy Little.
-
C.
June Nelson
June Nelson was the wife of American actor and director William Conrad.
-
D.
Lucinda Gayle Williams
Lucinda Gayle Williams is an American singer-songwriter renowned for her influential blend of country, rock, and Americana music.
-
E.
Yvonne Zima
Yvonne Zima is an American actress known for her work as a child performer in films and television, including notable roles in 1990s thrillers and popular TV dramas.
- 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.