Triple
T5664646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Foe |
E124828
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Foe |
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 | Statement: [Daniel Foe, familyName, Foe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foe Context triple: [Daniel Foe, familyName, Foe]
-
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.
Fugar
Fugar is a prominent town in Nigeria known as one of the key urban centers in Edo State.
-
E.
Pariah
Pariah is a 2011 independent coming-of-age drama film about a Brooklyn teenager embracing her identity as a lesbian, noted for its intimate storytelling and evocative cinematography.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0232497a08190ab7227f0e135a29e |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04dad0af4819088280f2d97173e9e |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.