Triple
T21079907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At a Potato Digging |
E519334
|
entity |
| Predicate | relatedWorkOfAuthor |
P922
|
FINISHED |
| Object | Follower |
—
|
NE NERFINISHED |
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: Follower | Statement: [At a Potato Digging, relatedWorkOfAuthor, Follower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Follower Context triple: [At a Potato Digging, relatedWorkOfAuthor, Follower]
-
A.
Follower
chosen
"Follower" is a well-known poem by Seamus Heaney that reflects on his childhood admiration for his father’s skilled farm work and his own feelings of clumsiness and later role reversal.
-
B.
the Follower
The Follower is the Arabic star name traditionally associated with SAO 94027, reflecting its role and position within its constellation.
-
C.
Following
Following is Christopher Nolan's 1998 low-budget neo-noir thriller feature debut, known for its nonlinear narrative and exploration of voyeurism and identity.
-
D.
Fan
Fan is a common Chinese surname borne by numerous historical and contemporary figures across politics, arts, sports, and other fields.
-
E.
Fanfan
Fanfan is a romantic film best known for starring French actress Sophie Marceau.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702da7be881908e430518103d7bb1 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.