Triple
T10103876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Aldridge |
E216267
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Home Farm |
E409416
|
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: Home Farm | Statement: [Brian Aldridge, residence, Home Farm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Home Farm Context triple: [Brian Aldridge, residence, Home Farm]
-
A.
Home Farm
chosen
Home Farm is the central family farm setting in the long-running BBC radio drama series "The Archers."
-
B.
New Farm
New Farm is an inner-city riverside suburb of Brisbane, Australia, known for its parklands, vibrant dining scene, and proximity to the central business district.
-
C.
Farmgate
Farmgate is a major commercial and transportation hub in Dhaka, Bangladesh, known for its dense markets, offices, and heavy traffic.
-
D.
Farm Loop
Farm Loop is a small rural community in Alaska’s Matanuska-Susitna Borough, known for its agricultural character and scenic valley setting.
-
E.
The Farm
The Farm is a notorious criminal stronghold and torture site in the fictional noir setting of Basin City from Frank Miller's "Sin City" series.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09c961081909848acec4438c300 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbf9ffb88190a87833d6fe080950 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:03 p.m.