Triple
T17970856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seqenenre Tao |
E449334
|
entity |
| Predicate | mummyExaminedBy |
P78590
|
FINISHED |
| Object | forensic specialists |
—
|
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: forensic specialists | Statement: [Seqenenre Tao, mummyExaminedBy, forensic specialists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mummyExaminedBy Context triple: [Seqenenre Tao, mummyExaminedBy, forensic specialists]
-
A.
mummyCurrentlyHousedAt
Indicates that a particular mummy is presently located or kept at a specified place or institution.
-
B.
mummyDiscoveryDate
Indicates the date on which a particular mummy was discovered.
-
C.
numberOfRoyalMummiesDisplayed
Indicates the quantity of royal mummies that are currently being exhibited or put on public display.
-
D.
examinedIn
chosen
Indicates that one entity is analyzed, inspected, or studied within the context, scope, or setting provided by another entity.
-
E.
bodiesExhumed
Indicates that previously buried bodies have been dug up and removed from their place of interment.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fa67c48190936f20cea45e4599 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.