Triple
T7290767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viaticum |
E164385
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Last Rites |
E30378
|
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: Last Rites | Statement: [Viaticum, relatedConcept, Last Rites]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Last Rites Context triple: [Viaticum, relatedConcept, Last Rites]
-
A.
Last Rites
chosen
Last Rites is a traditional set of Catholic sacramental practices given to a gravely ill or dying person to prepare their soul for death.
-
B.
Last to Die
"Last to Die" is a crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles and detective Jane Rizzoli as they investigate a series of murders linked to a group of traumatized orphans.
-
C.
Last to Die
Last to Die is a Magic: The Gathering card, likely a creature or spell, associated with the Magic game universe.
-
D.
The Glorious Dead
"The Glorious Dead" is a solemn commemorative phrase honoring those who lost their lives in war, famously inscribed on the Cenotaph in Whitehall, London.
-
E.
Funeral
"Funeral" is a 2020 studio album by American rapper Lil Wayne that showcases his rapid-fire lyricism over a diverse range of modern trap and melodic production.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6d4e308190af6b8c237988d7d8 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4a31608190ba465e22e7a81782 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.