Triple
T10437568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Psalms |
E246081
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Lord |
E4632
|
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: The Lord | Statement: [Seven Psalms, hasPart, The Lord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lord Context triple: [Seven Psalms, hasPart, The Lord]
-
A.
Lord of Wisdom
Lord of Wisdom is an epithet of the Hindu deity Ganesha, highlighting his role as the divine patron of intellect, learning, and discernment.
-
B.
Lord
chosen
Lord is a reverential title for Jesus Christ, emphasizing his divine authority, sovereignty, and central role in Christian faith and worship.
-
C.
Lord
A Lord is a noble title in the United Kingdom traditionally associated with membership in the peerage and, in many cases, a seat in the House of Lords.
-
D.
Lord Anyang
Lord Anyang was a nobleman and royal prince of the Warring States–era Zhao kingdom in ancient China, known primarily as a son of King Wuling of Zhao.
-
E.
Arthur Avalon
Arthur Avalon was the pseudonym of British Orientalist and jurist Sir John Woodroffe, best known for his influential English translations and studies of Hindu Tantric texts.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea853c308190be95ae8dffe67ac1 |
completed | April 7, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eccf4908190b16b82abfb0b8d43 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:14 p.m.