Triple
T5042390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Star (1952 film) |
E113574
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
June Travis
June Travis was an American film actress active primarily in the 1930s and 1940s, known for her roles in Hollywood studio productions.
|
E526897
|
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: June Travis | Statement: [The Star (1952 film), starring, June Travis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Travis Context triple: [The Star (1952 film), starring, June Travis]
-
A.
Nancy Travis
Nancy Travis is an American actress known for her work in film and television, including prominent roles in series like "The Kominsky Method" and "Last Man Standing."
-
B.
Tricia O'Kelley
Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
-
C.
Tracie Simpson
Tracie Simpson is a British television producer best known for her work on the long-running science fiction series Doctor Who.
-
D.
Tracy Reed
Tracy Reed was an American actress and model known for her roles in 1960s and 1970s films and television.
-
E.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
- 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: June Travis Triple: [The Star (1952 film), starring, June Travis]
Generated description
June Travis was an American film actress active primarily in the 1930s and 1940s, known for her roles in Hollywood studio productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: June Travis Target entity description: June Travis was an American film actress active primarily in the 1930s and 1940s, known for her roles in Hollywood studio productions.
-
A.
Nancy Travis
Nancy Travis is an American actress known for her work in film and television, including prominent roles in series like "The Kominsky Method" and "Last Man Standing."
-
B.
Tricia O'Kelley
Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
-
C.
Tracie Simpson
Tracie Simpson is a British television producer best known for her work on the long-running science fiction series Doctor Who.
-
D.
Tracy Reed
Tracy Reed was an American actress and model known for her roles in 1960s and 1970s films and television.
-
E.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfcb931f908190b72d825b95ae4861 |
completed | March 22, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69bfcc18e6dc8190898af6fdb0b17cbc |
completed | March 22, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfcc796c808190bb9f83a7014ef7db |
completed | March 22, 2026, 11:03 a.m. |
Created at: March 20, 2026, 1:37 p.m.