Triple
T12150243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Arnold |
E289432
|
entity |
| Predicate | disappearanceBecame |
P95770
|
FINISHED |
| Object | widely publicized in American press |
—
|
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: widely publicized in American press | Statement: [Dorothy Arnold, disappearanceBecame, widely publicized in American press]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disappearanceBecame Context triple: [Dorothy Arnold, disappearanceBecame, widely publicized in American press]
-
A.
disappearedDuring
Indicates that an entity ceased to be observable or present during the time span or event associated with another entity.
-
B.
disappearance
Indicates that an entity ceases to be present, visible, or detectable in a given context or location.
-
C.
relocatedAndBecame
Indicates that an entity moved from one place to another and, as a result of this move, assumed a new role, status, or identity.
-
D.
disappearanceFromSources
Indicates that an entity ceases to be mentioned or recorded in the available sources after a certain point in time.
-
E.
disappearanceStatus
chosen
Indicates the state or condition of whether and how something or someone has gone missing or ceased to be present.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.