Triple
T13701059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spawn (1997 film) |
E328517
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Theresa Randle |
E442289
|
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: Theresa Randle | Statement: [Spawn (1997 film), starring, Theresa Randle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresa Randle Context triple: [Spawn (1997 film), starring, Theresa Randle]
-
A.
Theresa Randle
chosen
Theresa Randle is an American actress known for her roles in films such as "Bad Boys," "Spawn," and "Girl 6."
-
B.
Theresa Hanson
Theresa Hanson is a Canadian university sports administrator who serves as the athletic director for Simon Fraser University's Red Leafs athletic program.
-
C.
Theresa Russell
Theresa Russell is an American actress known for her intense and often provocative performances in films such as "Bad Timing," "Black Widow," and "Track 29."
-
D.
Theresa Galloway
Theresa Galloway is known as the wife of American war correspondent and author Joseph L. Galloway.
-
E.
Ruth Riley
Ruth Riley is a former American professional basketball center best known for starring at Notre Dame and winning WNBA championships and a Finals MVP award with the Detroit Shock.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeed4548819082038c5b88ccd212 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 9:54 p.m.