Triple
T19983056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Up |
E493864
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
James Biddle
James Biddle is a film producer known for his work on the comedy film "Man Up."
|
E1403764
|
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: James Biddle | Statement: [Man Up, producer, James Biddle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Biddle Context triple: [Man Up, producer, James Biddle]
-
A.
James Biddle
James Biddle was a United States Navy officer and diplomat in the early 19th century, noted for his service in the War of 1812 and for negotiating treaties with Asian nations.
-
B.
Jack Biddle
Jack Biddle was one of the notorious Biddle brothers, remembered as a central figure in their infamous prison escape.
-
C.
Eli H. Janney
Eli H. Janney was a 19th-century American inventor best known for creating the automatic railroad car coupler that greatly improved rail safety and efficiency.
-
D.
Christopher Goutman
Christopher Goutman is an American television producer and director best known for his work on daytime soap operas.
-
E.
E. E. Rittenhouse
E. E. Rittenhouse was an American public health advocate and organizer best known for helping establish what became the American Cancer Society in the early 20th century.
- 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: James Biddle Triple: [Man Up, producer, James Biddle]
Generated description
James Biddle is a film producer known for his work on the comedy film "Man Up."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Biddle Target entity description: James Biddle is a film producer known for his work on the comedy film "Man Up."
-
A.
James Biddle
James Biddle was a United States Navy officer and diplomat in the early 19th century, noted for his service in the War of 1812 and for negotiating treaties with Asian nations.
-
B.
Jack Biddle
Jack Biddle was one of the notorious Biddle brothers, remembered as a central figure in their infamous prison escape.
-
C.
Eli H. Janney
Eli H. Janney was a 19th-century American inventor best known for creating the automatic railroad car coupler that greatly improved rail safety and efficiency.
-
D.
Christopher Goutman
Christopher Goutman is an American television producer and director best known for his work on daytime soap operas.
-
E.
E. E. Rittenhouse
E. E. Rittenhouse was an American public health advocate and organizer best known for helping establish what became the American Cancer Society in the early 20th century.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdddbf5c81908e194fb1d6c31e15 |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07fea23a988190832115346f8889ca |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff4a59608190a17f30f60c879efc |
completed | May 16, 2026, 5:23 a.m. |
Created at: April 11, 2026, 3:28 p.m.