Triple
T13196442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The End Part 3 |
E314122
|
entity |
| Predicate | featuresAntagonist |
P32100
|
FINISHED |
| Object | Trigon |
E308875
|
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: Trigon | Statement: [The End Part 3, featuresAntagonist, Trigon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trigon Context triple: [The End Part 3, featuresAntagonist, Trigon]
-
A.
Trigon
chosen
Trigon is a powerful demonic supervillain in the Teen Titans universe, best known as Raven’s tyrannical father and a major cosmic threat.
-
B.
TriG
TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
-
C.
Triciah
Triciah is a given name, likely a modern or stylistic variant of the feminine name Tricia.
-
D.
Tryano
Tryano is a luxury department store in Abu Dhabi known for its curated selection of high-end fashion, beauty, and lifestyle brands.
-
E.
Trigno
Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c626058819086f604b11af2d4eb |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.