Triple
T6069368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nico Blue Hoon |
E135239
|
entity |
| Predicate | hasLifeEvent |
P53982
|
FINISHED |
| Object | father Shannon Hoon died when she was an infant |
—
|
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: father Shannon Hoon died when she was an infant | Statement: [Nico Blue Hoon, hasLifeEvent, father Shannon Hoon died when she was an infant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLifeEvent Context triple: [Nico Blue Hoon, hasLifeEvent, father Shannon Hoon died when she was an infant]
-
A.
hadEvent
Indicates that an entity experienced, hosted, or was associated with a specific event at some point in time.
-
B.
laterLifeEvent
Indicates that one event, condition, or action occurs during a later stage in an entity’s life relative to earlier life phases.
-
C.
notableEventInLife
chosen
Indicates that a particular event holds significant importance or impact within an entity’s life or personal history.
-
D.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
E.
hasPersonalLife
Indicates that an entity has aspects, activities, or relationships belonging to its private or non-professional life.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0574157848190bb8e0972eb55a363 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.