Triple
T13810922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thora Birch |
E331885
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Jessie in All I Want for Christmas
Jessie in *All I Want for Christmas* is the precocious young girl who schemes to reunite her divorced parents in the 1991 family holiday film.
|
E1062156
|
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: Jessie in All I Want for Christmas | Statement: [Thora Birch, hasRole, Jessie in All I Want for Christmas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessie in All I Want for Christmas Context triple: [Thora Birch, hasRole, Jessie in All I Want for Christmas]
-
A.
Jessie
Jessie is the given name of Jessie James Combs, an American television personality and professional racer known for her work on automotive and metal fabrication shows.
-
B.
Jessie
Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
-
C.
Jessie
Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
-
D.
Jessie
Jessie is a person whose full name is Jessie Oriana Huxley.
-
E.
Jessie
Jessie is a Disney Channel comedy television series starring Debby Ryan as a young nanny working for a wealthy New York City family.
- 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: Jessie in All I Want for Christmas Triple: [Thora Birch, hasRole, Jessie in All I Want for Christmas]
Generated description
Jessie in *All I Want for Christmas* is the precocious young girl who schemes to reunite her divorced parents in the 1991 family holiday film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessie in All I Want for Christmas Target entity description: Jessie in *All I Want for Christmas* is the precocious young girl who schemes to reunite her divorced parents in the 1991 family holiday film.
-
A.
Jessie
Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
-
B.
Jessie
Jessie is the given name of Jessie James Combs, an American television personality and professional racer known for her work on automotive and metal fabrication shows.
-
C.
Jessie
Jessie is a Disney Channel comedy television series starring Debby Ryan as a young nanny working for a wealthy New York City family.
-
D.
Jessie
Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
-
E.
Jessie
Jessie is a person whose full name is Jessie Oriana Huxley.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b09161108190abbd97a30af9ab49 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138fda88190b2b7ffb51ce02a40 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b28ca218819097fc35042d3b278a |
completed | May 3, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:12 p.m.