Triple
T15961901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Loring |
E387081
|
entity |
| Predicate | parentalStatusAtStart |
P120622
|
FINISHED |
| Object | childless |
—
|
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: childless | Statement: [Vanessa Loring, parentalStatusAtStart, childless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalStatusAtStart Context triple: [Vanessa Loring, parentalStatusAtStart, childless]
-
A.
fatherStatusAtStart
Indicates the condition or role of the father at the beginning of a specified event, period, or process.
-
B.
parentsStatus
Indicates the marital or relational status between a person's parents (e.g., married, divorced, separated, single).
-
C.
parentalStatusDuringFilm
Indicates the parental status or situation of a person at the time a film was made or released.
-
D.
parentsMarriageStatus
Indicates the marital status relationship between an individual’s parents (e.g., married, divorced, separated, never married).
-
E.
motherStatus
Indicates the current condition, role, or state of an entity in relation to being a mother (e.g., whether and how they are functioning or recognized as a mother).
- F. None of above. chosen
Provenance (4 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:53 a.m.