Triple
T3014423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Harris |
E82301
|
entity |
| Predicate | statusAtEndOfWork |
P127
|
FINISHED |
| Object | free |
—
|
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: free | Statement: [Eliza Harris, statusAtEndOfWork, free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtEndOfWork Context triple: [Eliza Harris, statusAtEndOfWork, free]
-
A.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
worksStatus
Indicates the current state or condition of an entity’s work or project, such as whether it is planned, in progress, completed, or otherwise categorized.
-
C.
stoppedAt
Indicates that an entity has come to a halt or pause at a specific location or point in time.
-
D.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
E.
officeEnded
Indicates that a person’s term in an office or position has concluded at a specified time or under certain conditions.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a69e8148190a97507740c9d26a8 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.