Triple
T4506343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Lantern |
E101339
|
entity |
| Predicate | memberOfFictionalGroup |
P10
|
FINISHED |
| Object | emotional spectrum Corps |
—
|
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: emotional spectrum Corps | Statement: [Green Lantern, memberOfFictionalGroup, emotional spectrum Corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfFictionalGroup Context triple: [Green Lantern, memberOfFictionalGroup, emotional spectrum Corps]
-
A.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
B.
memberOf
chosen
Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
-
C.
memberOfSportsTeamOwnershipGroup
Indicates that an entity is part of the ownership group that owns or controls a sports team.
-
D.
mainCharacterAffiliation
Indicates the group, organization, or side with which the main character is formally or primarily aligned.
-
E.
formerMemberOf
Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56ff78748190bb667e70c69dc817 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.