Triple
T8510240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsley Amis |
E201433
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Martin Amis |
E173836
|
NE FINISHED |
How this triple was built (2 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: Martin Amis | Statement: [Kingsley Amis, child, Martin Amis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Amis Context triple: [Kingsley Amis, child, Martin Amis]
-
A.
Martin Amis
chosen
Martin Amis was a prominent British novelist, essayist, and critic known for his darkly comic, stylistically inventive fiction and sharp cultural commentary.
-
B.
Sir Kingsley Amis
Sir Kingsley Amis was a prominent 20th-century British novelist, poet, and critic, best known for his comic novel "Lucky Jim" and his influential role in postwar English literature.
-
C.
Jonathan Coe
Jonathan Coe is a British novelist and satirist best known for works such as "What a Carve Up!" and "The Rotters' Club," which often blend political commentary with dark humor.
-
D.
Julian Barnes
Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
-
E.
David Lodge
David Lodge was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d2eef208190b505a64d01f656f4 |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:15 p.m.