Triple
T7969440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatbox Ghost |
E185286
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Yale Gracey
Yale Gracey was a Disney Imagineer renowned for his pioneering special effects and illusions on classic attractions such as the Haunted Mansion.
|
E702505
|
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: Yale Gracey | Statement: [Hatbox Ghost, designedBy, Yale Gracey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yale Gracey Context triple: [Hatbox Ghost, designedBy, Yale Gracey]
-
A.
Grainger
Grainger is a surname most notably associated with William W. Grainger, the founder of the industrial supply company W.W. Grainger, Inc.
-
B.
Pfaff
Pfaff is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Underwood
Underwood is a surname most prominently associated with the fictional political power couple Frank and Claire Underwood from the television series "House of Cards."
-
D.
Yale Hilsman Mills
Yale Hilsman Mills was the wife of influential American sociologist C. Wright Mills and a figure connected to his personal and intellectual life.
-
E.
Wyman-Gordon
Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
- 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: Yale Gracey Triple: [Hatbox Ghost, designedBy, Yale Gracey]
Generated description
Yale Gracey was a Disney Imagineer renowned for his pioneering special effects and illusions on classic attractions such as the Haunted Mansion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yale Gracey Target entity description: Yale Gracey was a Disney Imagineer renowned for his pioneering special effects and illusions on classic attractions such as the Haunted Mansion.
-
A.
Grainger
Grainger is a surname most notably associated with William W. Grainger, the founder of the industrial supply company W.W. Grainger, Inc.
-
B.
Pfaff
Pfaff is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Underwood
Underwood is a surname most prominently associated with the fictional political power couple Frank and Claire Underwood from the television series "House of Cards."
-
D.
Yale Hilsman Mills
Yale Hilsman Mills was the wife of influential American sociologist C. Wright Mills and a figure connected to his personal and intellectual life.
-
E.
Wyman-Gordon
Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd1c9a081909759e5bf5237204e |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0aadcc48190ae35154195099029 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe43c4d2081909a8f5763252d88f1 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc193e73cc819085797ef363a37079 |
completed | March 31, 2026, 6:58 p.m. |
Created at: March 30, 2026, 5:13 p.m.