Triple
T19041623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E466016
|
entity |
| Predicate | previousCondition |
P49638
|
FINISHED |
| Object | barren |
—
|
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: barren | Statement: [Elizabeth, previousCondition, barren]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousCondition Context triple: [Elizabeth, previousCondition, barren]
-
A.
presentCondition
Indicates that an entity currently has or exhibits a particular state, situation, or condition.
-
B.
precondition
Indicates that one event, state, or condition must be true or occur before another event, state, or condition can validly or successfully take place.
-
C.
previousRule
Indicates that one rule directly precedes another rule in an ordered sequence or hierarchy.
-
D.
hasPrecedingCondition
chosen
Indicates that one condition occurs or exists before another condition in time or sequence.
-
E.
previousBehavior
Indicates that an entity’s past actions, conduct, or patterns of behavior are being referenced in relation to a current context or evaluation.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80118248190af6b4c74df5085ad |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.