Triple
T11993284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Two Mrs. Carrolls |
E285465
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Thomas Job
Thomas Job was a screenwriter best known for his work on classic Hollywood films such as the psychological thriller "The Two Mrs. Carrolls."
|
E958629
|
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: Thomas Job | Statement: [The Two Mrs. Carrolls, screenwriter, Thomas Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Job Context triple: [The Two Mrs. Carrolls, screenwriter, Thomas Job]
-
A.
Ellwood Kieser
Ellwood Kieser was an American Catholic priest and television producer best known for creating and producing the long-running religious anthology series "Insight."
-
B.
John Potts
John Potts was an 18th-century ironmaster and founder of the town that became Pottstown, Pennsylvania.
-
C.
Ralph Brownrigg
Ralph Brownrigg was a 17th-century English clergyman and academic who served as Bishop of Exeter in the Church of England.
-
D.
Thomas Gann
Thomas Gann was a British medical doctor and pioneering archaeologist known for his early explorations and documentation of Maya ruins in Belize and Mexico.
-
E.
Joseph Santley
Joseph Santley was an American film director, producer, and screenwriter best known for his work on early sound comedies and musicals in Hollywood.
- 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: Thomas Job Triple: [The Two Mrs. Carrolls, screenwriter, Thomas Job]
Generated description
Thomas Job was a screenwriter best known for his work on classic Hollywood films such as the psychological thriller "The Two Mrs. Carrolls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Job Target entity description: Thomas Job was a screenwriter best known for his work on classic Hollywood films such as the psychological thriller "The Two Mrs. Carrolls."
-
A.
Ellwood Kieser
Ellwood Kieser was an American Catholic priest and television producer best known for creating and producing the long-running religious anthology series "Insight."
-
B.
John Potts
John Potts was an 18th-century ironmaster and founder of the town that became Pottstown, Pennsylvania.
-
C.
Ralph Brownrigg
Ralph Brownrigg was a 17th-century English clergyman and academic who served as Bishop of Exeter in the Church of England.
-
D.
Thomas Gann
Thomas Gann was a British medical doctor and pioneering archaeologist known for his early explorations and documentation of Maya ruins in Belize and Mexico.
-
E.
Joseph Santley
Joseph Santley was an American film director, producer, and screenwriter best known for his work on early sound comedies and musicals in Hollywood.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
| NEDg | Description generation | batch_69f47b7d4ef081908f7f87d90c00d9ed |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47de8c9e48190af01918c9cd94c7d |
completed | May 1, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:46 p.m.