Triple
T4763868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gentleman Jim |
E105761
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Robert Buckner
Robert Buckner was an American screenwriter and film producer known for his work on classic Hollywood films in the 1930s and 1940s.
|
E501813
|
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: Robert Buckner | Statement: [Gentleman Jim, producer, Robert Buckner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Buckner Context triple: [Gentleman Jim, producer, Robert Buckner]
-
A.
Manuel Buckner
Manuel Buckner is an individual notable enough to be specifically cited as a bearer of the surname Buckner.
-
B.
Branford Buckner
Branford Buckner is a former American football defensive tackle who played in the NFL and later became a defensive line coach.
-
C.
Rufus Buckner
Rufus Buckner is an individual notable enough to be recognized as a prominent bearer of the Buckner surname.
-
D.
William Baker
William Baker was a 19th-century British civil engineer noted for designing major railway structures, including prominent bridges for the expanding Victorian rail network.
-
E.
Theodore Hickman
Theodore Hickman is the charismatic yet self-deluding traveling salesman whose arrival and revelations drive the tragic unraveling of illusions in Eugene O’Neill’s play "The Iceman Cometh."
- 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: Robert Buckner Triple: [Gentleman Jim, producer, Robert Buckner]
Generated description
Robert Buckner was an American screenwriter and film producer known for his work on classic Hollywood films in the 1930s and 1940s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Buckner Target entity description: Robert Buckner was an American screenwriter and film producer known for his work on classic Hollywood films in the 1930s and 1940s.
-
A.
Manuel Buckner
Manuel Buckner is an individual notable enough to be specifically cited as a bearer of the surname Buckner.
-
B.
Branford Buckner
Branford Buckner is a former American football defensive tackle who played in the NFL and later became a defensive line coach.
-
C.
Rufus Buckner
Rufus Buckner is an individual notable enough to be recognized as a prominent bearer of the Buckner surname.
-
D.
William Baker
William Baker was a 19th-century British civil engineer noted for designing major railway structures, including prominent bridges for the expanding Victorian rail network.
-
E.
Theodore Hickman
Theodore Hickman is the charismatic yet self-deluding traveling salesman whose arrival and revelations drive the tragic unraveling of illusions in Eugene O’Neill’s play "The Iceman Cometh."
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6530f0648190b76db9964471cfeb |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee059e7088190a04124e5918a3c42 |
completed | March 21, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69bee66191dc8190847fe13f2cda0000 |
completed | March 21, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6e8bbcc819094f5f04743eb4013 |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:20 p.m.