Triple
T17175947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elora Danan |
E416858
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Kristen Lang
Kristen Lang is an actress best known for playing the infant character Elora Danan in the fantasy film "Willow."
|
E1313314
|
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: Kristen Lang | Statement: [Elora Danan, portrayedBy, Kristen Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristen Lang Context triple: [Elora Danan, portrayedBy, Kristen Lang]
-
A.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
B.
Kirsten Nelson
Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
-
C.
Kirsten Sheridan
Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
-
D.
Heather Lind
Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
-
E.
Bridget Hedison
Bridget Hedison is an American artist and photographer known for her contemporary mixed-media works and for being married to actress Jodie Foster.
- 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: Kristen Lang Triple: [Elora Danan, portrayedBy, Kristen Lang]
Generated description
Kristen Lang is an actress best known for playing the infant character Elora Danan in the fantasy film "Willow."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristen Lang Target entity description: Kristen Lang is an actress best known for playing the infant character Elora Danan in the fantasy film "Willow."
-
A.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
B.
Kirsten Nelson
Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
-
C.
Kirsten Sheridan
Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
-
D.
Heather Lind
Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
-
E.
Bridget Hedison
Bridget Hedison is an American artist and photographer known for her contemporary mixed-media works and for being married to actress Jodie Foster.
- 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_6a039ef7b86c81909646d43496223dac |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a03a33cd93c81908ce8b3b61d5d99a8 |
completed | May 12, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a9c4f32881909a7818097735b105 |
completed | May 12, 2026, 10:29 p.m. |
Created at: April 10, 2026, 5:37 a.m.