Triple
T13275708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foe |
E316182
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Foe (film) |
E515402
|
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: Foe (film) | Statement: [Foe, hasAdaptation, Foe (film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foe (film) Context triple: [Foe, hasAdaptation, Foe (film)]
-
A.
Foe
Foe is a psychological science fiction novel by Iain Reid that explores themes of identity, isolation, and reality within a tense, intimate marriage.
-
B.
Foe
chosen
Foe is a novel by J. M. Coetzee that reimagines the Robinson Crusoe story to explore themes of authorship, storytelling, and the silencing of marginalized voices.
-
C.
FOE
FOE is the IATA airport code for Topeka Regional Airport in Topeka, Kansas, United States.
-
D.
Tideland
Tideland is a dark fantasy drama film known for its surreal, disturbing portrayal of a young girl's imagination as she copes with isolation and trauma in a desolate rural setting.
-
E.
Fárrago
Fárrago is a celebrated poetry collection by Colombian writer León de Greiff, known for its rich language, erudite allusions, and playful, experimental style.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.