Triple
T5925672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde Langer |
E131804
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Mr Smith |
E72016
|
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: Mr Smith | Statement: [Clyde Langer, associatedWith, Mr Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr Smith Context triple: [Clyde Langer, associatedWith, Mr Smith]
-
A.
Mr Smith
chosen
Mr Smith is the super-intelligent alien computer that assists Sarah Jane Smith and her friends in the British sci-fi series "The Sarah Jane Adventures."
-
B.
Mr. Smith
"Mr. Smith" is a 1995 hip hop album by LL Cool J that marked a successful commercial comeback and features hits like "Hey Lover" and "Doin' It."
-
C.
Mr. Brown
Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
-
D.
Mr. Brown
Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
-
E.
Art Smith
Art Smith was an American character actor known for his supporting roles in classic film noir and drama during the 1940s and 1950s.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03852806c81908ba726c16adf3358 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c04e5af8819095f15cfbc1f13c46 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.