Triple
T5042716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadly Strangers |
E113582
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | David Lodge |
E201479
|
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: David Lodge | Statement: [Deadly Strangers, starring, David Lodge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lodge Context triple: [Deadly Strangers, starring, David Lodge]
-
A.
David Lodge
chosen
David Lodge was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
-
B.
Julian Barnes
Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
-
C.
Ian Byatt
Ian Byatt is a British economist and former water industry regulator, best known for serving as the first Director General of Ofwat, the economic regulator of the water industry in England and Wales.
-
D.
Martin Amis
Martin Amis was a prominent British novelist, essayist, and critic known for his darkly comic, stylistically inventive fiction and sharp cultural commentary.
-
E.
David Mitchell
David Mitchell was an American scenic designer renowned for his work on numerous Broadway productions, television shows, and films.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c87455081908b759eed55730503 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.