Triple
T15669281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.O.A. (1950 film) |
E377264
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Lynn Baggett
Lynn Baggett was an American film actress of the 1940s and early 1950s, known for supporting roles in crime dramas and film noirs.
|
E1399130
|
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: Lynn Baggett | Statement: [D.O.A. (1950 film), castMember, Lynn Baggett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynn Baggett Context triple: [D.O.A. (1950 film), castMember, Lynn Baggett]
-
A.
Lynn Hendee
Lynn Hendee is a film producer known for her work on independent and character-driven movies such as "The Ballad of Jack and Rose."
-
B.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
C.
Dianne Foster
Dianne Foster was a Canadian-born film and television actress active in the 1950s and 1960s, known for her dramatic roles in Hollywood productions.
-
D.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
E.
Lynn Merrick
Lynn Merrick was an American film actress of the 1940s, known for her roles in B-movies and serials produced by studios like Republic Pictures.
- 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: Lynn Baggett Triple: [D.O.A. (1950 film), castMember, Lynn Baggett]
Generated description
Lynn Baggett was an American film actress of the 1940s and early 1950s, known for supporting roles in crime dramas and film noirs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynn Baggett Target entity description: Lynn Baggett was an American film actress of the 1940s and early 1950s, known for supporting roles in crime dramas and film noirs.
-
A.
Lynn Hendee
Lynn Hendee is a film producer known for her work on independent and character-driven movies such as "The Ballad of Jack and Rose."
-
B.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
C.
Dianne Foster
Dianne Foster was a Canadian-born film and television actress active in the 1950s and 1960s, known for her dramatic roles in Hollywood productions.
-
D.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
-
E.
Lynn Merrick
Lynn Merrick was an American film actress of the 1940s, known for her roles in B-movies and serials produced by studios like Republic Pictures.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d41e00d88190a0cf2c1dd598f551 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d81e5bc881909b109afa7cf71384 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d91c50648190a2a9f13daad545fd |
completed | May 16, 2026, 2:40 a.m. |
Created at: April 10, 2026, 4:16 a.m.