Triple
T1180757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flightplan |
E25130
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Kate Beahan
Kate Beahan is an Australian actress known for her roles in films such as "Flightplan" and "The Wicker Man."
|
E217858
|
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: Kate Beahan | Statement: [Flightplan, starring, Kate Beahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Beahan Context triple: [Flightplan, starring, Kate Beahan]
-
A.
Nicole Shanahan
Nicole Shanahan is an American attorney, legal tech entrepreneur, and philanthropist known for founding the patent management company ClearAccessIP and for her high-profile marriage to Google co-founder Sergey Brin.
-
B.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
-
C.
Janel Moloney
Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
-
D.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
E.
Alana Beard
Alana Beard is a former American professional basketball player and four-time WNBA All-Star known for her elite perimeter defense and key role in the league during the 2000s and 2010s.
- 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: Kate Beahan Triple: [Flightplan, starring, Kate Beahan]
Generated description
Kate Beahan is an Australian actress known for her roles in films such as "Flightplan" and "The Wicker Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Beahan Target entity description: Kate Beahan is an Australian actress known for her roles in films such as "Flightplan" and "The Wicker Man."
-
A.
Nicole Shanahan
Nicole Shanahan is an American attorney, legal tech entrepreneur, and philanthropist known for founding the patent management company ClearAccessIP and for her high-profile marriage to Google co-founder Sergey Brin.
-
B.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
-
C.
Janel Moloney
Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
-
D.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
E.
Alana Beard
Alana Beard is a former American professional basketball player and four-time WNBA All-Star known for her elite perimeter defense and key role in the league during the 2000s and 2010s.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb8231ec81909d539f9bc2219619 |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfbf98f508190a237a2067bf0574f |
completed | March 8, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfc523d248190a1d748c7a9579d06 |
completed | March 8, 2026, 10:46 p.m. |
Created at: March 1, 2026, 7:45 p.m.