Triple
T3970933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Applause |
E92332
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Joan Peers
Joan Peers was an American film actress active in the early 1930s, known for her roles in several pre-Code Hollywood productions.
|
E404516
|
NE FINISHED |
How this triple was built (4 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: Joan Peers | Statement: [Applause, starredActor, Joan Peers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Peers Context triple: [Applause, starredActor, Joan Peers]
-
A.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
B.
Joanne Horton
Joanne Horton was the wife of H. R. Haldeman, a prominent aide to U.S. President Richard Nixon during the Watergate era.
-
C.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
-
D.
Joanne Herring
Joanne Herring is a Houston socialite, political activist, and businesswoman known for her influential role in supporting U.S. involvement with Afghan resistance fighters during the Soviet–Afghan War.
-
E.
Joan Chandler
Joan Chandler was an American stage and film actress best known for her roles in mid-20th-century dramas and thrillers, including Alfred Hitchcock’s "Rope."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joan Peers Triple: [Applause, starredActor, Joan Peers]
Generated description
Joan Peers was an American film actress active in the early 1930s, known for her roles in several pre-Code Hollywood productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Peers Target entity description: Joan Peers was an American film actress active in the early 1930s, known for her roles in several pre-Code Hollywood productions.
-
A.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
B.
Joanne Horton
Joanne Horton was the wife of H. R. Haldeman, a prominent aide to U.S. President Richard Nixon during the Watergate era.
-
C.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
-
D.
Joanne Herring
Joanne Herring is a Houston socialite, political activist, and businesswoman known for her influential role in supporting U.S. involvement with Afghan resistance fighters during the Soviet–Afghan War.
-
E.
Joan Chandler
Joan Chandler was an American stage and film actress best known for her roles in mid-20th-century dramas and thrillers, including Alfred Hitchcock’s "Rope."
- F. None of above. chosen
Provenance (5 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef995d27881908b24a5b2ef57455f |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400b75d081909b8e4840b15d19f1 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b540eb53788190aa281ee38edc1729 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541a55cb081909ec1f87a7553b6f2 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:32 p.m.