Triple
T22569684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongning Na |
E558044
|
entity |
| Predicate | hasFieldwork |
P113310
|
FINISHED |
| Object | documented by Alexis Michaud |
—
|
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: documented by Alexis Michaud | Statement: [Yongning Na, hasFieldwork, documented by Alexis Michaud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFieldwork Context triple: [Yongning Na, hasFieldwork, documented by Alexis Michaud]
-
A.
hasConductedFieldworkOn
Indicates that an agent has performed research or investigative fieldwork focused on a particular subject, location, or population.
-
B.
hasWorkField
Indicates that an entity is associated with or operates within a particular field or area of work.
-
C.
placeOfFieldwork
Indicates the location where a person conducts or has conducted their fieldwork activities.
-
D.
periodOfFieldwork
Indicates the time span during which the fieldwork activity took place.
-
E.
associatedFieldworkSource
chosen
Indicates that something is linked to, derived from, or documented by a particular piece of fieldwork or fieldwork data source.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fad35448190b51a3dd639ca8568 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.