Triple
T3745184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam |
E81192
|
entity |
| Predicate | campStatusDuringAffliction |
P45672
|
FINISHED |
| Object | shut out of the camp |
—
|
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: shut out of the camp | Statement: [Miriam, campStatusDuringAffliction, shut out of the camp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campStatusDuringAffliction Context triple: [Miriam, campStatusDuringAffliction, shut out of the camp]
-
A.
cultStatus
Indicates that something has achieved a devoted, niche following or admiration that is disproportionate to its mainstream popularity.
-
B.
continuityStatus
Indicates the state of whether something continues without interruption or has been broken, paused, or reset over time.
-
C.
exportStatus
Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
-
D.
participationStatus
chosen
Indicates the current state or condition of an entity’s involvement in an event, activity, or process (e.g., planned, active, completed, or cancelled participation).
-
E.
burnCenterStatus
Indicates the operational or designation status of a medical facility as a burn treatment center.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb680ddc819094205beb342699f9 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.