Triple
T31890716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Strait |
E814137
|
entity |
| Predicate | hasFamilyTragedy |
P16448
|
FINISHED |
| Object | loss of daughter Jenifer Strait |
—
|
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: loss of daughter Jenifer Strait | Statement: [Norma Strait, hasFamilyTragedy, loss of daughter Jenifer Strait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyTragedy Context triple: [Norma Strait, hasFamilyTragedy, loss of daughter Jenifer Strait]
-
A.
hasTragicPast
chosen
Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
-
B.
familyTragedyInvolvedChildren
Indicates that the family tragedy specifically involved one or more children as affected parties.
-
C.
impactOfTragedy
Indicates the effect or consequences that a tragic event has on an entity or situation.
-
D.
hadMemberFamily
Indicates that an entity was a member of a particular family group during a specified time or context.
-
E.
hasFamilyReputation
Indicates that an entity is associated with a particular standing, status, or reputation held by their family.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 30, 2026, 11:58 p.m.