Triple
T8982503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Reagan |
E214565
|
entity |
| Predicate | hasNoDescendants |
P86161
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Christine Reagan, hasNoDescendants, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoDescendants Context triple: [Christine Reagan, hasNoDescendants, true]
-
A.
hasNoChildren
Indicates that the subject entity does not have any children associated with it.
-
B.
hasNoChildrenWith
Indicates that two entities do not have any children together as a result of their relationship.
-
C.
hasNotableDescendant
Indicates that an entity has at least one descendant who is recognized as notable or significant in some context.
-
D.
hasLeaves
Indicates that an entity possesses leaves as part of its structure or form.
-
E.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a891e881909e4b84ed82491651 |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:03 p.m.