Triple
T16075638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horemheb |
E389972
|
entity |
| Predicate | removedFromMonuments |
P16758
|
FINISHED |
| Object | names and images of Akhenaten |
—
|
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: names and images of Akhenaten | Statement: [Horemheb, removedFromMonuments, names and images of Akhenaten]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: removedFromMonuments Context triple: [Horemheb, removedFromMonuments, names and images of Akhenaten]
-
A.
statueRemovedBy
Indicates that a statue was taken down, dismantled, or otherwise removed by a specified agent or authority.
-
B.
originalMonumentsFrom
Indicates that certain monuments were originally created, erected, or located in a specified place or source region.
-
C.
removedFrom
chosen
Indicates that one entity has been taken away, extracted, or detached from another entity or context.
-
D.
removedFromPlaceOfHonor
Indicates that an entity has been taken out of a previously held position of distinction, prestige, or special recognition in a particular context or location.
-
E.
otherMonuments
Indicates that there exists a relationship between an entity and additional monuments that are associated with or related to it in some relevant way.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.