Triple
T4281493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keeping Faith: Memoirs of a President |
E97159
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Bantam
Bantam is a major American publishing imprint best known for its mass-market paperback books across a wide range of genres.
|
E426235
|
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: Bantam | Statement: [Keeping Faith: Memoirs of a President, publisher, Bantam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bantam Context triple: [Keeping Faith: Memoirs of a President, publisher, Bantam]
-
A.
Bantam
Bantam is the main inhabited village and administrative center of the remote Australian territory of the Cocos (Keeling) Islands in the Indian Ocean.
-
B.
Bantam
Bantam is a small borough within the town of Litchfield in northwestern Connecticut, known for its village character and proximity to Bantam Lake.
-
C.
Cochin Bantam
Cochin Bantam is a miniature variety of the Cochin chicken breed, known for its profuse feathering, rounded shape, and calm, ornamental nature.
-
D.
Martlet
Martlet was the British Royal Navy’s name for early versions of the American-built Grumman F4F Wildcat carrier-based fighter aircraft used during World War II.
-
E.
Henne
The Henne is a river in western Germany that flows through North Rhine-Westphalia and joins the Ruhr.
- 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: Bantam Triple: [Keeping Faith: Memoirs of a President, publisher, Bantam]
Generated description
Bantam is a major American publishing imprint best known for its mass-market paperback books across a wide range of genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bantam Target entity description: Bantam is a major American publishing imprint best known for its mass-market paperback books across a wide range of genres.
-
A.
Bantam
Bantam is a small borough within the town of Litchfield in northwestern Connecticut, known for its village character and proximity to Bantam Lake.
-
B.
Bantam
Bantam is the main inhabited village and administrative center of the remote Australian territory of the Cocos (Keeling) Islands in the Indian Ocean.
-
C.
Cochin Bantam
Cochin Bantam is a miniature variety of the Cochin chicken breed, known for its profuse feathering, rounded shape, and calm, ornamental nature.
-
D.
Martlet
Martlet was the British Royal Navy’s name for early versions of the American-built Grumman F4F Wildcat carrier-based fighter aircraft used during World War II.
-
E.
Henne
The Henne is a river in western Germany that flows through North Rhine-Westphalia and joins the Ruhr.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503938f481909505e0a322dd2b6c |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7bb0168819082a49347fdfe0997 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5b88fc3c08190acc376d3c3ccd147 |
completed | March 14, 2026, 7:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8eada308190809db5c4ff7eeac6 |
completed | March 14, 2026, 7:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.