Triple
T24057544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Hardin |
E595848
|
entity |
| Predicate | plansToHaveChildVia |
P154698
|
FINISHED |
| Object | sperm donation |
—
|
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: sperm donation | Statement: [Maggie Hardin, plansToHaveChildVia, sperm donation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plansToHaveChildVia Context triple: [Maggie Hardin, plansToHaveChildVia, sperm donation]
-
A.
conceptionBy
Indicates that one entity is conceived or brought into existence by another entity.
-
B.
conceivedWhile
Indicates that one entity was conceived during the time period in which another specified condition, event, or circumstance was occurring.
-
C.
reproductiveCare
Indicates the provision or receipt of services, support, or actions related to an entity’s reproductive health and reproductive processes.
-
D.
conceptionLocation
Indicates the place where the act or event of conception of an individual occurred.
-
E.
usedSurrogacy
Indicates that an individual or couple had a child through the use of a surrogate pregnancy arrangement.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da50d6108190a36bffaa475c8b93 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:35 p.m.