Triple
T12716977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar |
E303870
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Koba |
E414064
|
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: Koba | Statement: [Caesar, enemy, Koba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koba Context triple: [Caesar, enemy, Koba]
-
A.
Koba
Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
-
B.
Koba
chosen
Koba is a vengeful, battle-scarred bonobo who becomes a primary antagonist in the modern Planet of the Apes film series.
-
C.
Thoosa
Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
-
D.
Kabnis
Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
-
E.
Kharis
Kharis is a reanimated ancient Egyptian mummy who serves as the central monstrous antagonist in Universal Pictures’ classic Mummy film 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671bcc10481909f150989f9545752 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.