Triple
T476846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samoans |
E9080
|
entity |
| Predicate | traditionalTattoo |
P5963
|
FINISHED |
| Object | pe'a (male tattoo) |
—
|
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: pe'a (male tattoo) | Statement: [Samoans, traditionalTattoo, pe'a (male tattoo)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalTattoo Context triple: [Samoans, traditionalTattoo, pe'a (male tattoo)]
-
A.
traditionalCraft
chosen
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
B.
traditionalTitle
Indicates that an entity holds or is associated with a customary or historically established title or honorific within a cultural or social tradition.
-
C.
traditionalLifestyle
Indicates that an entity follows or maintains long-established customs, practices, and ways of living, typically in contrast to modern or industrialized lifestyles.
-
D.
traditionalAuthorship
Indicates that an entity is recognized as the conventional or historically accepted author of a work, according to traditional attribution.
-
E.
traditionalAuthor
Indicates that an entity is regarded as the conventional or historically accepted author of a work, even if actual authorship may be uncertain or disputed.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03cc63881908e75b457804cb858 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf017548190ae38ff3314a1ffa3 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.