Triple
T30605591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sig Hansen |
E779031
|
entity |
| Predicate | heartAttackOccurredDuring |
P3824
|
FINISHED |
| Object | filming of Deadliest Catch |
—
|
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: filming of Deadliest Catch | Statement: [Sig Hansen, heartAttackOccurredDuring, filming of Deadliest Catch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heartAttackOccurredDuring Context triple: [Sig Hansen, heartAttackOccurredDuring, filming of Deadliest Catch]
-
A.
occurredDuring
chosen
Indicates that one event or action took place within the temporal span of another event or time period.
-
B.
heartPresence
Indicates the existence or presence of a heart in or associated with the referenced entity.
-
C.
heartProtection
Indicates a protective effect or action that helps safeguard the heart from damage or disease.
-
D.
accidentOccurredDuring
Indicates that an accident took place within the time span or context of a specified event, activity, or condition.
-
E.
hadEvent
Indicates that an entity experienced, hosted, or was associated with a specific event at some point in time.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689b638f88190bc3eb7910a2b19de |
completed | May 2, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:25 p.m.