Triple
T2388364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princes in the Tower murders |
E48883
|
entity |
| Predicate | forensicEvent |
P16515
|
FINISHED |
| Object | 1674 discovery of child skeletons in the Tower of London |
—
|
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: 1674 discovery of child skeletons in the Tower of London | Statement: [Princes in the Tower murders, forensicEvent, 1674 discovery of child skeletons in the Tower of London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forensicEvent Context triple: [Princes in the Tower murders, forensicEvent, 1674 discovery of child skeletons in the Tower of London]
-
A.
investigatedEvent
chosen
Indicates that an event was the subject of an investigation or inquiry carried out by some agent.
-
B.
formationEvent
Indicates the event or process through which something comes into existence, is created, or is initially established.
-
C.
foamStrikeEvent
Indicates an event where foam physically impacts or collides with a target or surface.
-
D.
provenanceEvent
Indicates an event or action that records how an entity came to be, including its origin, creation, modification, or transfer history.
-
E.
facedEvent
Indicates that an entity directly encountered, experienced, or dealt with a particular event.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7dca9248190b634ae9e02f6899a |
completed | March 7, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.