Triple
T15961902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Loring |
E387081
|
entity |
| Predicate | parentalStatusAtEnd |
P120623
|
FINISHED |
| Object | adoptive mother |
—
|
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: adoptive mother | Statement: [Vanessa Loring, parentalStatusAtEnd, adoptive mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalStatusAtEnd Context triple: [Vanessa Loring, parentalStatusAtEnd, adoptive mother]
-
A.
parentsStatus
Indicates the marital or relational status between a person's parents (e.g., married, divorced, separated, single).
-
B.
politicalStatusAtEnd
Indicates the political status or condition an entity holds at the conclusion of a specified event or time period.
-
C.
parentalStatusDuringFilm
Indicates the parental status or situation of a person at the time a film was made or released.
-
D.
fatherStatusAtStart
Indicates the condition or role of the father at the beginning of a specified event, period, or process.
-
E.
hasMaritalStatusAtEnd
Indicates that an entity possesses a specific marital status at the end of a given period, event, or reference time.
- 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.