Triple
T26507872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tlatilco |
E669597
|
entity |
| Predicate | figurineTheme |
P160801
|
FINISHED |
| Object | female beauty and adornment |
—
|
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: female beauty and adornment | Statement: [Tlatilco, figurineTheme, female beauty and adornment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: figurineTheme Context triple: [Tlatilco, figurineTheme, female beauty and adornment]
-
A.
favoriteFigure
Indicates that one entity is the preferred or most liked figure (such as a person, character, or symbol) of another entity.
-
B.
isCollectibleFigure
Indicates that an entity is a figure or model intended primarily for collection rather than ordinary use or play.
-
C.
thematicCharacter
Indicates that an entity serves as a central or recurring figure embodying key themes or motifs within a narrative or discourse.
-
D.
isToyToLifeFigure
Indicates that an object is a physical toy figure designed to be digitally activated or used within a video game or virtual environment.
-
E.
featuresThemeBy
Indicates that something (such as a work, event, or product) prominently includes or centers around a particular theme created or defined by a specified source or 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6138fa6e881908d60d7d354ee2b4e |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 1:17 a.m.