Triple
T2120467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twilight Zone (TV series episodes) |
E43908
|
entity |
| Predicate | basedOnFormat |
P130
|
FINISHED |
| Object | anthology television series |
—
|
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: anthology television series | Statement: [The Twilight Zone (TV series episodes), basedOnFormat, anthology television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnFormat Context triple: [The Twilight Zone (TV series episodes), basedOnFormat, anthology television series]
-
A.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
B.
areBasedOn
Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
-
C.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
D.
basedOnResolution
Indicates that something is determined, derived, or decided according to a particular resolution, decision, or formal determination.
-
E.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3404348190bc843022fbd2b4d0 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.