Triple
T173230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tender Trap |
E3521
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Nancy Gates
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
|
E87848
|
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: Nancy Gates | Statement: [The Tender Trap, starring, Nancy Gates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Gates Context triple: [The Tender Trap, starring, Nancy Gates]
-
A.
Janice Gordon
Janice Gordon is known as the first wife of American country music singer Kenny Rogers, whom he married before rising to fame.
-
B.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
C.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
-
D.
Karen Richards
Karen Richards is a key character in the classic film "All About Eve," a theater insider whose friendship and decisions help drive the story’s backstage drama and betrayal.
-
E.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
- 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: Nancy Gates Triple: [The Tender Trap, starring, Nancy Gates]
Generated description
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Gates Target entity description: Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
-
A.
Janice Gordon
Janice Gordon is known as the first wife of American country music singer Kenny Rogers, whom he married before rising to fame.
-
B.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
C.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
-
D.
Karen Richards
Karen Richards is a key character in the classic film "All About Eve," a theater insider whose friendship and decisions help drive the story’s backstage drama and betrayal.
-
E.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e1ec008190a89dd452f72574f4 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a467f74819092d3b89baf4be2bc |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64c24ed908190b124c1eab5b57cce |
completed | March 3, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64c70803c81909cb7f3c0189733b4 |
completed | March 3, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.