Triple
T1438834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln's Inn Fields Theatre |
E31020
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | John Rich |
E166398
|
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: John Rich | Statement: [Lincoln's Inn Fields Theatre, ownedBy, John Rich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Rich Context triple: [Lincoln's Inn Fields Theatre, ownedBy, John Rich]
-
A.
John Rich
chosen
John Rich was an influential 18th-century English theatre manager and producer, best known for pioneering English pantomime and helping establish Covent Garden as a major London playhouse.
-
B.
Uncle Kracker
Uncle Kracker is an American singer-songwriter and musician known for his blend of rock, country, and pop, and for hits like "Follow Me" and "Drift Away."
-
C.
Kid Rock
Kid Rock is an American musician known for blending rock, hip hop, and country influences in his music and for his outspoken, often controversial public persona.
-
D.
Nelly
Nelly is an American rapper, singer, and songwriter known for early-2000s hits like "Hot in Herre" and "Dilemma."
-
E.
Sam W. Hunt
Sam W. Hunt is an American politician who served as a member of the Washington State Legislature.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c506d5ac8190b4c5b394c6d3f414 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e6e12748190baeb91ba843a716f |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.