Triple
T14429150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Seitz |
E357775
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of American cinematographer John F. Seitz, known for his influential work in early Hollywood cinema.
|
E1098554
|
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: John | Statement: [John F. Seitz, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John F. Seitz, givenName, John]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
-
C.
John
John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
-
D.
John
John was a Portuguese royal who held the title of Prince of Brazil and later became King John VI of Portugal.
-
E.
John
John is the given name of John Boyle O'Reilly, a 19th-century Irish-born poet, journalist, and civil rights activist who became influential in 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: John Triple: [John F. Seitz, givenName, John]
Generated description
John is the given name of American cinematographer John F. Seitz, known for his influential work in early Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of American cinematographer John F. Seitz, known for his influential work in early Hollywood cinema.
-
A.
John
John is the given name of Australian cinematographer John Seale, known for his work on films such as "The English Patient" and "Mad Max: Fury Road."
-
B.
John
John is the given name of American filmmaker John Hughes, known for his influential 1980s teen comedies and coming-of-age films.
-
C.
John
John is the given name of American film director John Sturges, known for classic Westerns and action films such as "The Magnificent Seven" and "The Great Escape."
-
D.
John
John is the first name of American filmmaker John Lee Hancock, known for directing and writing several popular Hollywood films.
-
E.
John
John is the first name of John Ottman, an American film editor and composer known for his work on major Hollywood movies.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91154de881909266ae88d1545685 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc424f88190ab3a1c1aec61cb40 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5cf4dedc81908988f13f0fc9f510 |
completed | May 8, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5dcf151c8190959b3240813a1d71 |
completed | May 8, 2026, 3:51 a.m. |
Created at: April 10, 2026, 1:18 a.m.