Triple
T7538527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant |
E178211
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jane Withers |
E520034
|
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: Jane Withers | Statement: [Giant, starring, Jane Withers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Withers Context triple: [Giant, starring, Jane Withers]
-
A.
Jane Withers
chosen
Jane Withers was a popular American child actress of the 1930s and 1940s who later became known for her work in film, television, and commercials.
-
B.
Myrna Smith
Myrna Smith was an American soul and gospel singer best known as a member of the vocal group The Sweet Inspirations, who frequently recorded and toured with artists like Elvis Presley and Aretha Franklin.
-
C.
Shirley Owens
Shirley Owens is an American singer best known as the lead vocalist of the girl group The Shirelles, pioneers of the early 1960s pop and R&B sound.
-
D.
Mary Wickes
Mary Wickes was an American character actress known for her sharp-tongued, comedic roles in film and television across several decades.
-
E.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8710400819088e430c8c550577e |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c937a70a94819090ff91dfa463682b |
completed | March 29, 2026, 2:31 p.m. |
Created at: March 27, 2026, 3:48 p.m.