Triple
T19177878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Childhood's End (miniseries) |
E469485
|
entity |
| Predicate | basedOnCharacterOrEvent |
P92229
|
FINISHED |
| Object | alien invasion of Earth |
—
|
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: alien invasion of Earth | Statement: [Childhood's End (miniseries), basedOnCharacterOrEvent, alien invasion of Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCharacterOrEvent Context triple: [Childhood's End (miniseries), basedOnCharacterOrEvent, alien invasion of Earth]
-
A.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
B.
basedOnCharacterFromWork
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
-
C.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
D.
basedOnCharactersRelationship
Indicates that something is determined or derived from the relationship between the characters involved.
-
E.
basedOnInFiction
chosen
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f618f18c8190b98995fda4b6fea0 |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.