Triple
T8896188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majority text |
E211809
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Acts |
E330124
|
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: Acts | Statement: [Majority text, includes, Acts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acts Context triple: [Majority text, includes, Acts]
-
A.
Acts
chosen
Acts is a New Testament book that narrates the early history and spread of the Christian church after Jesus’s resurrection and ascension.
-
B.
Acts
Acts are formal pieces of legislation enacted by a parliament or legislative body that establish or modify laws within a jurisdiction.
-
C.
ACTS
ACTS was the U.S. Army Air Corps’ interwar professional military school that developed many of the strategic airpower doctrines later used in World War II.
-
D.
Act
Act was a short-lived late-1980s synth-pop duo featuring Thomas Leer and Claudia Brücken, known for their sophisticated, theatrical electronic sound and association with the ZTT label.
-
E.
Aksi
Aksi is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bfec0881908e4ef5b7f0e6b542 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfac02974881908a7e8d9cfa47e624 |
completed | April 3, 2026, 12:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.