Triple
T17912160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Scott |
E447840
|
entity |
| Predicate | lanternType |
P89636
|
FINISHED |
| Object | magic-based Green Lantern lantern |
—
|
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: magic-based Green Lantern lantern | Statement: [Alan Scott, lanternType, magic-based Green Lantern lantern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lanternType Context triple: [Alan Scott, lanternType, magic-based Green Lantern lantern]
-
A.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
B.
typicalLanternDiameter
Indicates the usual or standard diameter measurement associated with a lantern.
-
C.
hasLanternType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of lantern.
-
D.
hasLanternShape
Indicates that one entity has the form, outline, or configuration characteristic of a lantern.
-
E.
hasLanternLightSource
Indicates that an entity uses a lantern as its source of light.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea0ea008190b54a999e0704fb67 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.