Triple
T9367678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Rigby |
E225445
|
entity |
| Predicate | burialContext |
P88173
|
FINISHED |
| Object | buried along with her name |
—
|
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: buried along with her name | Statement: [Eleanor Rigby, burialContext, buried along with her name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burialContext Context triple: [Eleanor Rigby, burialContext, buried along with her name]
-
A.
burialText
Indicates that a text is inscribed on, associated with, or used in connection with a burial or funerary context.
-
B.
burialBy
Indicates that one entity is responsible for burying or interring another entity.
-
C.
burialPractice
Indicates the customary methods, rituals, or procedures a group uses to bury or inter their dead.
-
D.
burialCulture
Indicates the cultural practices, norms, or traditions associated with how a person or remains are buried.
-
E.
burials
Indicates that one entity is interred or laid to rest in a grave or burial site associated with another entity.
- F. None of above. chosen
Provenance (4 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd507f9ed8819092967b204faa4408 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:43 p.m.