Triple
T11009123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonight and Every Night |
E260200
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Janet Blair
Janet Blair was an American film and television actress best known for her musical and comedy roles in the 1940s and 1950s.
|
E909768
|
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: Janet Blair | Statement: [Tonight and Every Night, starring, Janet Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Blair Context triple: [Tonight and Every Night, starring, Janet Blair]
-
A.
Janice Blair
Janice Blair is an American singer and former backing vocalist best known for her brief marriage to rock musician Gregg Allman.
-
B.
Janet Robins
Janet Robins is an individual known for having attended St. Clare's School.
-
C.
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."
-
D.
Janet Julian
Janet Julian is an American actress known for her roles in film and television, including a notable appearance in the crime drama "King of New York."
-
E.
Cynthia Reed
Cynthia Reed was the wife of renowned Australian modernist painter Sidney Nolan.
- 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: Janet Blair Triple: [Tonight and Every Night, starring, Janet Blair]
Generated description
Janet Blair was an American film and television actress best known for her musical and comedy roles in the 1940s and 1950s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janet Blair Target entity description: Janet Blair was an American film and television actress best known for her musical and comedy roles in the 1940s and 1950s.
-
A.
Janice Blair
Janice Blair is an American singer and former backing vocalist best known for her brief marriage to rock musician Gregg Allman.
-
B.
Janet Robins
Janet Robins is an individual known for having attended St. Clare's School.
-
C.
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."
-
D.
Janet Julian
Janet Julian is an American actress known for her roles in film and television, including a notable appearance in the crime drama "King of New York."
-
E.
Cynthia Reed
Cynthia Reed was the wife of renowned Australian modernist painter Sidney Nolan.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4831ba3688190bee08ca29872ab3b |
completed | April 19, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69e48715bd2081908774d325db2b6dd5 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4886c0da881909105b3a45e786ce9 |
completed | April 19, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:25 p.m.