Triple
T14630863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCU |
E343473
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Sarah Trigger
Sarah Trigger is a British-born actress known for her film and television roles in the 1990s and early 2000s.
|
E1109559
|
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: Sarah Trigger | Statement: [PCU, stars, Sarah Trigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Trigger Context triple: [PCU, stars, Sarah Trigger]
-
A.
Katherine Fugate
Katherine Fugate is an American screenwriter and television producer best known for creating the Lifetime drama series "Army Wives."
-
B.
Moira Banning
Moira Banning is a fictional character from the 1991 fantasy film "Hook," where she appears as Peter Banning's wife in Steven Spielberg's reimagining of the Peter Pan story.
-
C.
June Blair
June Blair was an American actress and model best known for her role on the television series "The Adventures of Ozzie and Harriet."
-
D.
Vivian Rutledge
Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
-
E.
Viva Laughlin
Viva Laughlin is a short-lived American musical drama television series, adapted from the British show "Viva Blackpool," that blended crime, family drama, and song-and-dance numbers.
- 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: Sarah Trigger Triple: [PCU, stars, Sarah Trigger]
Generated description
Sarah Trigger is a British-born actress known for her film and television roles in the 1990s and early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Trigger Target entity description: Sarah Trigger is a British-born actress known for her film and television roles in the 1990s and early 2000s.
-
A.
Katherine Fugate
Katherine Fugate is an American screenwriter and television producer best known for creating the Lifetime drama series "Army Wives."
-
B.
Moira Banning
Moira Banning is a fictional character from the 1991 fantasy film "Hook," where she appears as Peter Banning's wife in Steven Spielberg's reimagining of the Peter Pan story.
-
C.
June Blair
June Blair was an American actress and model best known for her role on the television series "The Adventures of Ozzie and Harriet."
-
D.
Vivian Rutledge
Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
-
E.
Viva Laughlin
Viva Laughlin is a short-lived American musical drama television series, adapted from the British show "Viva Blackpool," that blended crime, family drama, and song-and-dance numbers.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92ded848190b031d3ff29e54a00 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb0859cfc8190b0061c2e7c629260 |
completed | May 8, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb14346508190afc3067469412efb |
completed | May 8, 2026, 9:47 a.m. |
Created at: April 10, 2026, 1:26 a.m.