Triple
T869758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iliad |
E18783
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Odyssey |
E3198
|
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: Odyssey | Statement: [Iliad, followedBy, Odyssey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odyssey Context triple: [Iliad, followedBy, Odyssey]
-
A.
Homer's Odyssey
chosen
Homer's Odyssey is an ancient Greek epic poem attributed to Homer that recounts the long, perilous journey of the hero Odysseus as he attempts to return home from the Trojan War.
-
B.
Argonautica
Argonautica is an ancient Greek epic poem, traditionally attributed to Apollonius of Rhodes, that recounts Jason and the Argonauts’ quest for the Golden Fleece.
-
C.
King of Ithaca
The King of Ithaca is the legendary Greek monarch best known as Odysseus, the cunning hero of Homer’s Odyssey and leader of the island kingdom of Ithaca.
-
D.
Troy
Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
-
E.
Troy
Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84dcf748190b20372fdc48d6766 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:39 p.m.