Triple
T13757056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love the 80s |
E330502
|
entity |
| Predicate | hasSpinOff |
P7226
|
FINISHED |
| Object | I Love the 90s |
E330503
|
NE 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: I Love the 90s | Statement: [I Love the 80s, hasSpinOff, I Love the 90s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Love the 90s Context triple: [I Love the 80s, hasSpinOff, I Love the 90s]
-
A.
I Love the 90s
chosen
I Love the 90s is a VH1 nostalgia-driven documentary series that humorously revisits and comments on the pop culture, trends, and events of the 1990s.
-
B.
I Love the 80s
I Love the 80s is a nostalgic VH1 television series in which celebrities humorously reminisce about and comment on pop culture from the 1980s.
-
C.
MTV 90s
MTV 90s is a music television channel dedicated to playing music videos and programming focused on 1990s hits and pop culture.
-
D.
The Nineties
The Nineties is a documentary television series that explores the major cultural, political, and technological events of the 1990s.
-
E.
Party Like It’s 1999
"Party Like It’s 1999" is a chapter in Peter Thiel’s book "Zero to One" that critiques the excesses and flawed assumptions of the late-1990s tech bubble to argue for building fundamentally valuable, long-term businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a85dfa6881908da90886db4aa1bb |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:09 p.m.