Triple
T4783274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulupi |
E106415
|
entity |
| Predicate | usedBoonTo |
P24441
|
FINISHED |
| Object | restore Arjuna to life |
—
|
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: restore Arjuna to life | Statement: [Ulupi, usedBoonTo, restore Arjuna to life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBoonTo Context triple: [Ulupi, usedBoonTo, restore Arjuna to life]
-
A.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
B.
usedOrb
Indicates that an entity made use of or employed an orb to perform an action or achieve some effect.
-
C.
wasUsedBy
chosen
Indicates that something served as a tool, resource, or means for an agent to perform an action or achieve a result.
-
D.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
E.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.