Triple
T6527124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damson Idris |
E151332
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Farming |
E606078
|
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: Farming | Statement: [Damson Idris, appearedIn, Farming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farming Context triple: [Damson Idris, appearedIn, Farming]
-
A.
Farming
chosen
"Farming" is a 2018 British drama film written and directed by Adewale Akinnuoye-Agbaje, based on his own experiences as a Nigerian child fostered to a white working-class family in the UK.
-
B.
Farm Aid
Farm Aid is an annual benefit concert and nonprofit organization dedicated to supporting family farmers and promoting a sustainable food system in the United States.
-
C.
Home Farm
Home Farm is the central family farm setting in the long-running BBC radio drama series "The Archers."
-
D.
FIELDS
FIELDS is a scientific instrument suite on NASA’s Parker Solar Probe designed to measure electric and magnetic fields, radio emissions, and plasma waves in the Sun’s outer atmosphere.
-
E.
Successful Farming
Successful Farming is a long-running American agricultural magazine providing news, advice, and resources for farmers and rural communities.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada8a0e48190947616f3a09a2cba |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e416e884819099c788cc3a814414 |
completed | March 27, 2026, 8:09 p.m. |
Created at: March 27, 2026, 1:45 p.m.