Triple
T695580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Ricci |
E13887
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Casper
Casper is a 1995 family fantasy film about a friendly ghost who befriends a young girl while haunting a crumbling mansion.
|
E85509
|
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: Casper | Statement: [Christina Ricci, notableWork, Casper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casper Context triple: [Christina Ricci, notableWork, Casper]
-
A.
Chico
Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
-
B.
Downey
Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
-
C.
Twain Harte
Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
-
D.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
E.
Clark
Clark is the middle name of Herbert Hoover, the 31st president of the United States.
- 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: Casper Triple: [Christina Ricci, notableWork, Casper]
Generated description
Casper is a 1995 family fantasy film about a friendly ghost who befriends a young girl while haunting a crumbling mansion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casper Target entity description: Casper is a 1995 family fantasy film about a friendly ghost who befriends a young girl while haunting a crumbling mansion.
-
A.
Chico
Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
-
B.
Downey
Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
-
C.
Twain Harte
Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
-
D.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
E.
Clark
Clark is the middle name of Herbert Hoover, the 31st president of the United States.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c5f51c8190acc4915099e4b384 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca9aa9c8190a113e782988aa7f8 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5e70510908190bcbd1c46629d05f5 |
completed | March 2, 2026, 7:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a60989aac08190a324c8d9889086f5 |
completed | March 2, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:36 p.m.