Triple
T7969090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X. Atencio |
E185279
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francis
Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
|
E702483
|
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: Francis | Statement: [X. Atencio, givenName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [X. Atencio, givenName, Francis]
-
A.
Francis
Francis is the given first name of legendary Los Angeles Lakers play-by-play announcer Chick Hearn.
-
B.
Francis
Francis is the middle name of American seismologist Charles Francis Richter, best known for creating the Richter magnitude scale for measuring earthquakes.
-
C.
Francis
Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
-
D.
Francis
Francis was a German nobleman who served as Duke of Saxe-Coburg-Saalfeld in the late 18th and early 19th centuries.
-
E.
Francis
Francis is the given name of Frank Sheeran, the American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
- 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: Francis Triple: [X. Atencio, givenName, Francis]
Generated description
Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francis Target entity description: Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
-
A.
Francis
Francis is the given first name of the American actor Frank Morgan, best known for his role as the Wizard in "The Wizard of Oz."
-
B.
Francis
Francis is the given name of American singer and conductor Frank Sinatra Jr., son of legendary entertainer Frank Sinatra.
-
C.
Francis
Francis is the given first name of the American author and poet Bret Harte, known for his stories of the California Gold Rush.
-
D.
Francis
Francis is the given first name of American character actor Frank McHugh, known for his prolific work in early 20th-century film and theater.
-
E.
Francis
Francis is the given name of Frank Sheeran, the American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
- 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.