Triple
T20403839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meleager |
E500407
|
entity |
| Predicate | roleInCalydonianHunt |
P9987
|
FINISHED |
| Object | leader |
—
|
LITERAL 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: leader | Statement: [Meleager, roleInCalydonianHunt, leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCalydonianHunt Context triple: [Meleager, roleInCalydonianHunt, leader]
-
A.
roleInTrojanWar
Indicates the specific function, position, or part an entity played in the events of the Trojan War.
-
B.
roleInTauris
Indicates that an entity has a specific role or function within the context of Tauris (e.g., a work, setting, or domain associated with Tauris).
-
C.
mythologicalRole
chosen
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
D.
roleInMulan
Indicates that one entity has a specific role or part in the context of "Mulan" (such as the film, story, or production).
-
E.
roleInZootopia
Indicates that an entity has a specific role, function, or position within the context of Zootopia.
- F. None of above.
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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799080cc819096dc31f41d1d7b49 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.