Triple
T14046484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lighting Up the Sky |
E337968
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Truth |
E481544
|
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: Truth | Statement: [Lighting Up the Sky, hasPart, Truth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truth Context triple: [Lighting Up the Sky, hasPart, Truth]
-
A.
Truth
Truth is the concept of alignment between statements or beliefs and reality, often regarded as a fundamental philosophical and ethical ideal.
-
B.
Truth
chosen
Truth is the influential 1968 debut solo album by English guitarist Jeff Beck, often cited as a pioneering work in the development of hard rock and heavy metal.
-
C.
Truth and Truthfulness
Truth and Truthfulness is a philosophical work by Bernard Williams that examines the nature, value, and ethical significance of truth in human life and society.
-
D.
“Truth”
“Truth” is a philosophical essay by Michael Dummett that explores the nature of truth and its role in theories of meaning and logic.
-
E.
True
"True" is a song featured on the album "Human" by the British singer and songwriter Rag'n'Bone Man.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34332448190b044f55f0f85d5e2 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.