Triple
T34957369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miral Paris |
E1008154
|
entity |
| Predicate | parentalStatusAtBirth |
P34200
|
FINISHED |
| Object | only child of Tom Paris and B'Elanna Torres |
—
|
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: only child of Tom Paris and B'Elanna Torres | Statement: [Miral Paris, parentalStatusAtBirth, only child of Tom Paris and B'Elanna Torres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalStatusAtBirth Context triple: [Miral Paris, parentalStatusAtBirth, only child of Tom Paris and B'Elanna Torres]
-
A.
parentalStatusAtStart
Indicates the parental status or condition of a person at the beginning of a specified period, event, or process.
-
B.
parentalStatusAtEnd
Indicates the parental status or condition of an entity at the conclusion of a specified event or time period.
-
C.
residenceOfParentsAtTimeOfBirth
Indicates the place where a person's parents were living at the time of that person's birth.
-
D.
birthStatus
chosen
Indicates the condition or circumstances of an entity’s birth, such as whether and how it was born.
-
E.
parentsStatus
Indicates the marital or relational status between a person's parents (e.g., married, divorced, separated, single).
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4 p.m.