Triple
T12604960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network |
E300953
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Beatrice Straight |
E396610
|
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: Beatrice Straight | Statement: [Network, stars, Beatrice Straight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatrice Straight Context triple: [Network, stars, Beatrice Straight]
-
A.
Beatrice Straight
chosen
Beatrice Straight was an American actress best known for her Academy Award–winning performance in "Network" and her role in the horror film "Poltergeist."
-
B.
Beatrice Durham
Beatrice Durham was the wife of pioneering British geneticist William Bateson and a supportive figure in his personal and scientific life.
-
C.
Beatrice Taylor
Beatrice Taylor is the beloved, nurturing aunt character from "The Andy Griffith Show," best known for her role as Aunt Bee in the fictional town of Mayberry.
-
D.
Beatrice Pearson
Beatrice Pearson was an American film actress best known for her leading role in the 1948 film noir "Force of Evil."
-
E.
Dorothea Ames
Dorothea Ames is a staff member at Coal Hill Academy, a fictional London school featured in the Doctor Who universe and its spin-offs.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e7f2dc8190a42cab7a0e5ea7f3 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a16408081909097d7e3ab750a27 |
completed | May 3, 2026, 8:40 a.m. |
Created at: April 9, 2026, 5:10 p.m.