Triple
T23074732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost Catchers |
E575296
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Gloria Jean
Gloria Jean was an American singer and actress best known for her musical film roles in the 1930s and 1940s.
|
E1569139
|
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: Gloria Jean | Statement: [Ghost Catchers, hasCastMember, Gloria Jean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Jean Context triple: [Ghost Catchers, hasCastMember, Gloria Jean]
-
A.
Gloria Blondell
Gloria Blondell was an American film, radio, and television actress of the mid-20th century, known for her character roles and as the younger sister of actress Joan Blondell.
-
B.
Gloria Page
Gloria Page is known as the mother of Larry Page, the co-founder of Google.
-
C.
Gloria Swenson
Gloria Swenson is the tough, streetwise former mob moll who becomes an unlikely protector of a young boy in the crime thriller film "Gloria."
-
D.
Gloria Rand
Gloria Rand is a Canadian actress best known as the first wife of actor William Shatner.
-
E.
Gloria Gaines
Gloria Gaines is the wife of longtime White House butler Cecil Gaines in the film "The Butler," serving as a central figure in his personal and family life.
- 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: Gloria Jean Triple: [Ghost Catchers, hasCastMember, Gloria Jean]
Generated description
Gloria Jean was an American singer and actress best known for her musical film roles in the 1930s and 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gloria Jean Target entity description: Gloria Jean was an American singer and actress best known for her musical film roles in the 1930s and 1940s.
-
A.
Gloria Blondell
Gloria Blondell was an American film, radio, and television actress of the mid-20th century, known for her character roles and as the younger sister of actress Joan Blondell.
-
B.
Gloria Page
Gloria Page is known as the mother of Larry Page, the co-founder of Google.
-
C.
Gloria Swenson
Gloria Swenson is the tough, streetwise former mob moll who becomes an unlikely protector of a young boy in the crime thriller film "Gloria."
-
D.
Gloria Rand
Gloria Rand is a Canadian actress best known as the first wife of actor William Shatner.
-
E.
Gloria Gaines
Gloria Gaines is the wife of longtime White House butler Cecil Gaines in the film "The Butler," serving as a central figure in his personal and family life.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15aaf74881909d2cd5f3d730f1b4 |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c15f186208190889e0766ddf03343 |
completed | May 19, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c165b716c8190b1c1e1683fe897db |
completed | May 19, 2026, 7:50 a.m. |
Created at: April 17, 2026, 3:56 p.m.