Triple
T3860618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breaching the Anteverse rift |
E90125
|
entity |
| Predicate | opposes |
P437
|
FINISHED |
| Object | Precursors |
E84985
|
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: Precursors | Statement: [Breaching the Anteverse rift, opposes, Precursors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Precursors Context triple: [Breaching the Anteverse rift, opposes, Precursors]
-
A.
Precursors
chosen
The Precursors are an ancient, highly advanced alien race that orchestrates interdimensional kaiju attacks on Earth in the Pacific Rim universe.
-
B.
Presagio
Presagio is a novel by Italian writer Andrea Molesini, known for its evocative prose and exploration of complex human emotions.
-
C.
The Originator
The Originator is an honorific nickname for Little Richard, recognizing his pioneering role in shaping rock and roll music.
-
D.
Prysm
Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
-
E.
The Trespassers
"The Trespassers" is a novel by American author Laura Z. Hobson that explores themes of immigration, prejudice, and moral responsibility on the eve of World War II.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec212a1c8190aba6311630c3fd3e |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512348fe88190b5ae942809732b76 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.