Triple
T7105293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achaeans |
E165565
|
entity |
| Predicate | notableHero |
P20971
|
FINISHED |
| Object | Ajax the Greater |
E263227
|
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: Ajax the Greater | Statement: [Achaeans, notableHero, Ajax the Greater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajax the Greater Context triple: [Achaeans, notableHero, Ajax the Greater]
-
A.
Ajax the Greater
chosen
Ajax the Greater is a towering Greek hero of the Trojan War renowned for his immense strength, courage, and steadfast defense of his comrades.
-
B.
Ajax the Lesser
Ajax the Lesser is a Greek mythological hero and warrior renowned for his role in the Trojan War, distinct from the more famous Ajax the Great.
-
C.
Abraka
Abraka is a prominent town in Delta State, Nigeria, known for its Urhobo population and as the location of Delta State University.
-
D.
Hanno the Great
Hanno the Great was a powerful Carthaginian statesman and military leader known for his influential role in Carthage’s politics during the Punic Wars era.
-
E.
Iznogoud
Iznogoud is a French comic book series featuring a scheming grand vizier whose obsessive goal is to overthrow the caliph and become ruler in his place.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5b892008190827fa1e5eab2e558 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf7c0bb88190ac03e2279512d837 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:42 p.m.