Triple
T37465285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metamorphosis |
E931018
|
entity |
| Predicate | maxHeroPowerUsesGranted |
P187966
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Metamorphosis, maxHeroPowerUsesGranted, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxHeroPowerUsesGranted Context triple: [Metamorphosis, maxHeroPowerUsesGranted, 2]
-
A.
hasHeroPower
Indicates that one entity possesses or is endowed with a special ability or power characteristic of a hero in relation to another entity.
-
B.
hasNumberOfPowers
Indicates the quantity of distinct powers or abilities that an entity possesses.
-
C.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
D.
hasVictoriousPower
Indicates that one entity possesses a power, force, or capability that triumphs over opposition or competing entities.
-
E.
usesPowerFor
Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.