Triple
T9286330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Oakley |
E223401
|
entity |
| Predicate | earlyLifeActivity |
P61890
|
FINISHED |
| Object | hunting to support her family |
—
|
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: hunting to support her family | Statement: [Annie Oakley, earlyLifeActivity, hunting to support her family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyLifeActivity Context triple: [Annie Oakley, earlyLifeActivity, hunting to support her family]
-
A.
infancyEvent
Indicates an event or occurrence that takes place during the infancy stage of an entity’s life.
-
B.
earlyRole
Indicates that an entity held a particular role or position during an early or initial stage of its involvement or development.
-
C.
earlyTraining
Indicates that an entity receives or provides training at an early stage relative to a process, development period, or typical timeline.
-
D.
earlyActivity
Indicates that an entity begins or performs a specified activity earlier than a usual, expected, or referenced time.
-
E.
earlyCareerActivity
chosen
Indicates activities, roles, or engagements undertaken by an entity during the early stage of its career or professional development.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0821b1108190b16e9570b09a14de |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.