Triple
T17175946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elora Danan |
E416858
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Rebecca Bearman
Rebecca Bearman is an actress known for playing the infant version of Elora Danan in the fantasy film "Willow."
|
E1384322
|
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: Rebecca Bearman | Statement: [Elora Danan, portrayedBy, Rebecca Bearman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Bearman Context triple: [Elora Danan, portrayedBy, Rebecca Bearman]
-
A.
Amanda Bearse
Amanda Bearse is an American actress, director, and comedian best known for playing Marcy Rhoades D'Arcy on the sitcom "Married... with Children."
-
B.
Rebecca Callard
Rebecca Callard is an English actress known for her work in British television dramas and stage productions.
-
C.
Rebecca Heineman
Rebecca Heineman is an American video game programmer and designer recognized as one of the industry’s earliest champions and a co-founder of several influential game companies.
-
D.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
E.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
- 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: Rebecca Bearman Triple: [Elora Danan, portrayedBy, Rebecca Bearman]
Generated description
Rebecca Bearman is an actress known for playing the infant version of Elora Danan in the fantasy film "Willow."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rebecca Bearman Target entity description: Rebecca Bearman is an actress known for playing the infant version of Elora Danan in the fantasy film "Willow."
-
A.
Amanda Bearse
Amanda Bearse is an American actress, director, and comedian best known for playing Marcy Rhoades D'Arcy on the sitcom "Married... with Children."
-
B.
Rebecca Callard
Rebecca Callard is an English actress known for her work in British television dramas and stage productions.
-
C.
Rebecca Heineman
Rebecca Heineman is an American video game programmer and designer recognized as one of the industry’s earliest champions and a co-founder of several influential game companies.
-
D.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
E.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
- 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_6a075eefce50819097c5f31f14290b51 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a075f9af3f88190b9cdf276a08cf12c |
completed | May 15, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a075ff0fb208190a937998551a01497 |
completed | May 15, 2026, 6:03 p.m. |
Created at: April 10, 2026, 5:37 a.m.