Triple
T36471960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ÄM 21300 |
E898559
|
entity |
| Predicate | appliesToPersonDepicted |
P49267
|
FINISHED |
| Object | Nefertiti |
—
|
NE NERFINISHED |
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: Nefertiti | Statement: [ÄM 21300, appliesToPersonDepicted, Nefertiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToPersonDepicted Context triple: [ÄM 21300, appliesToPersonDepicted, Nefertiti]
-
A.
appliesToPerson
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific person.
-
B.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
C.
depictedSubject
chosen
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
D.
appliedToPersonKnownFor
Indicates that something (such as an action, label, or attribute) is directed toward or used on a person who is recognized or notable for a particular role, achievement, or characteristic.
-
E.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
Created at: May 3, 2026, 4:10 p.m.