Triple
T16122344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Estate |
E391178
|
entity |
| Predicate | occupationOf |
P14167
|
FINISHED |
| Object | Martin Courtney |
E1196714
|
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 Courtney | Statement: [Real Estate, occupationOf, Martin Courtney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Courtney Context triple: [Real Estate, occupationOf, Martin Courtney]
-
A.
Martin Courtney
chosen
Martin Courtney is an American musician best known as the lead vocalist and guitarist of the indie rock band Real Estate.
-
B.
Christopher Courtney
Christopher Courtney was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command during the early years of the Second World War.
-
C.
Lee Cottrill
Lee Cottrill is the central protagonist of the novel and film "Fools' Parade," around whom the story’s post-prison struggles and conflicts revolve.
-
D.
Matthew Sweeney
Matthew Sweeney is an Irish poet known for his surreal, darkly humorous, and accessible verse that often blends the everyday with the fantastical.
-
E.
Marc Lacey
Marc Lacey is an American journalist and editor best known for serving in senior leadership roles at The New York Times, including overseeing major news coverage and editorial operations.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79ecea0819083aa5cb676d49f64 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5 a.m.