Triple
T17901641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Brickell |
E447593
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mr. Christmas
Mr. Christmas is a 1989 family Christmas film directed by and starring Beth Brickell, known for its heartwarming small-town holiday story.
|
E1295670
|
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: Mr. Christmas | Statement: [Beth Brickell, notableWork, Mr. Christmas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Christmas Context triple: [Beth Brickell, notableWork, Mr. Christmas]
-
A.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
B.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
-
C.
Rudolph
Rudolph was an Austrian archduke of the Habsburg dynasty, best known as a patron of the arts and a close friend and student of composer Ludwig van Beethoven.
-
D.
Rudolph
Rudolph is a masculine given name of German origin, historically borne by various notable figures including nobles, artists, and entertainers.
-
E.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
- 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: Mr. Christmas Triple: [Beth Brickell, notableWork, Mr. Christmas]
Generated description
Mr. Christmas is a 1989 family Christmas film directed by and starring Beth Brickell, known for its heartwarming small-town holiday story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Christmas Target entity description: Mr. Christmas is a 1989 family Christmas film directed by and starring Beth Brickell, known for its heartwarming small-town holiday story.
-
A.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
B.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
-
C.
Rudolph
Rudolph was an Austrian archduke of the Habsburg dynasty, best known as a patron of the arts and a close friend and student of composer Ludwig van Beethoven.
-
D.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
-
E.
Rudolph
Rudolph is a masculine given name of German origin, historically borne by various notable figures including nobles, artists, and entertainers.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e98fb688190815ac308e5ed7fde |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b286b088190b6cf9731da839669 |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031c3658988190b59fa17d616cad9b |
completed | May 12, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031c9914dc819099da3b2174a5fbc7 |
completed | May 12, 2026, 12:27 p.m. |
Created at: April 10, 2026, 10:19 a.m.