Triple
T19520430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Transformers (Marvel comic series) |
E488386
|
entity |
| Predicate | distinctFrom |
P1612
|
FINISHED |
| Object | The Transformers (1984 animated series) |
—
|
NE NERFINISHED |
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: The Transformers (1984 animated series) | Statement: [The Transformers (Marvel comic series), distinctFrom, The Transformers (1984 animated series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Transformers (1984 animated series) Context triple: [The Transformers (Marvel comic series), distinctFrom, The Transformers (1984 animated series)]
-
A.
The Transformers (1984 TV series)
chosen
The Transformers (1984 TV series) is an animated television show that introduced the iconic conflict between the heroic Autobots and evil Decepticons, helping launch the long-running Transformers multimedia franchise.
-
B.
Transformers: Animated
Transformers: Animated is an American animated television series in the Transformers franchise that reimagines the iconic robots in a stylized, character-driven storyline.
-
C.
Transformers
"Transformers" is a track featured on Warren G's influential West Coast hip hop album *Regulate... G Funk Era*.
-
D.
Transformers
Transformers is a popular open-source deep learning library by Hugging Face focused on state-of-the-art natural language processing and transformer-based models.
-
E.
Transformers
Transformers is a blockbuster science fiction action franchise centered on sentient robots that can transform into vehicles and other objects, spanning films, television series, comics, and merchandise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.