Triple
T23628992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. A. R. Barker |
E583552
|
entity |
| Predicate | conductedFieldworkOn |
P124153
|
FINISHED |
| Object | Native American languages |
—
|
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: Native American languages | Statement: [M. A. R. Barker, conductedFieldworkOn, Native American languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conductedFieldworkOn Context triple: [M. A. R. Barker, conductedFieldworkOn, Native American languages]
-
A.
hasConductedFieldworkOn
chosen
Indicates that an agent has performed research or investigative fieldwork focused on a particular subject, location, or population.
-
B.
placeOfFieldwork
Indicates the location where a person conducts or has conducted their fieldwork activities.
-
C.
conductedResearchOn
Indicates that an entity has performed or carried out research concerning another entity or topic.
-
D.
subregionOfFieldwork
Indicates that one fieldwork area is a smaller, contained subregion within another, larger fieldwork area.
-
E.
periodOfFieldwork
Indicates the time span during which the fieldwork activity took place.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1e5ae80819085c417e8d81b74ad |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.