Triple
T21028443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ares’s dragon |
E518001
|
entity |
| Predicate | teethFunctionInMyth |
P142531
|
FINISHED |
| Object | generate armed men |
—
|
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: generate armed men | Statement: [Ares’s dragon, teethFunctionInMyth, generate armed men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teethFunctionInMyth Context triple: [Ares’s dragon, teethFunctionInMyth, generate armed men]
-
A.
hasTeeth
Indicates that one entity possesses teeth as a physical feature.
-
B.
dentition
Indicates the type, arrangement, or condition of teeth that an entity possesses.
-
C.
toothAdaptation
Indicates how an organism’s teeth are structurally or functionally modified in response to its diet, environment, or evolutionary pressures.
-
D.
toothUsedToDestroy
Indicates that a tooth is employed as the means or tool to break, damage, or destroy something.
-
E.
distinguishingDentalFeature
Indicates that one entity has a dental characteristic that serves to differentiate it from another entity or group.
- F. None of above. chosen
Provenance (4 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7efda081909a4de1c389166bf2 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:55 p.m.