Triple
T15475906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safety Harbor culture |
E376779
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Mocoso |
E376782
|
NE 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: Mocoso | Statement: [Safety Harbor culture, associatedWith, Mocoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mocoso Context triple: [Safety Harbor culture, associatedWith, Mocoso]
-
A.
Mocoso
chosen
Mocoso was a Native American chiefdom in the Tampa Bay region of Florida during the early contact period, known from Spanish exploration accounts and interactions with neighboring groups like the Tocobaga.
-
B.
Poncho
Poncho is a common nickname or diminutive form of the Spanish given name Alfonso.
-
C.
Monki
Monki is a youth-oriented fashion brand offering playful, trend-driven clothing and accessories under the H&M Group.
-
D.
Mycoskie
Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
-
E.
Moco
Moco is the nickname of Brazilian Formula One driver José Carlos Pace, remembered for his Grand Prix victory and the Interlagos circuit later being named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d093ccc8190aefc355a837c83f4 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.