Triple
T17175945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elora Danan |
E416858
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Kate Greenfield
Kate Greenfield is an actress known for playing the character Elora Danan.
|
E1295267
|
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 Greenfield | Statement: [Elora Danan, portrayedBy, Kate Greenfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Greenfield Context triple: [Elora Danan, portrayedBy, Kate Greenfield]
-
A.
Alice Green
Alice Green is the troubled wife and mother at the center of the film "When a Man Loves a Woman," whose struggle with alcoholism and its impact on her family drives the movie’s emotional narrative.
-
B.
Alice Green
Alice Green is known as the daughter of author and YouTube creator John Green.
-
C.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
D.
Kate Palmer
Kate Palmer is a central female character in the darkly comic crime novel and film "No Way to Treat a Lady," involved in the story’s tense cat-and-mouse dynamics.
-
E.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
- 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 Greenfield Triple: [Elora Danan, portrayedBy, Kate Greenfield]
Generated description
Kate Greenfield is an actress known for playing the character Elora Danan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Greenfield Target entity description: Kate Greenfield is an actress known for playing the character Elora Danan.
-
A.
Alice Green
Alice Green is the troubled wife and mother at the center of the film "When a Man Loves a Woman," whose struggle with alcoholism and its impact on her family drives the movie’s emotional narrative.
-
B.
Alice Green
Alice Green is known as the daughter of author and YouTube creator John Green.
-
C.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
D.
Kate Palmer
Kate Palmer is a central female character in the darkly comic crime novel and film "No Way to Treat a Lady," involved in the story’s tense cat-and-mouse dynamics.
-
E.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0cec448190b30466628a2ff23f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b10f34c81908bd52d2d581da69a |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031db1ca588190aac180a4fd87383e |
completed | May 12, 2026, 12:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031e67a8bc81909f1076d175f5af2c |
completed | May 12, 2026, 12:34 p.m. |
Created at: April 10, 2026, 5:37 a.m.