Triple
T24027970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiwah ceremony |
E595017
|
entity |
| Predicate | timeAfterDeath |
P76982
|
FINISHED |
| Object | performed long after initial burial |
—
|
LITERAL 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: performed long after initial burial | Statement: [Tiwah ceremony, timeAfterDeath, performed long after initial burial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeAfterDeath Context triple: [Tiwah ceremony, timeAfterDeath, performed long after initial burial]
-
A.
timeBeforeDeath
Indicates that the associated time value occurs prior to an entity’s death or moment of dying.
-
B.
timeOfDeath
Indicates the specific time at which an entity (typically a person or organism) died.
-
C.
timeInTomb
Indicates the duration that an entity remains or has remained inside a tomb.
-
D.
afterDeath
chosen
Indicates that one event, state, or condition occurs subsequent to and as a result of an entity’s death.
-
E.
timeSinceSubjectDeath
Indicates the amount of time that has elapsed since the subject died.
- F. None of above.
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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76d393c8190ae9b1b9e43fe0efa |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.