Triple
T4397988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln family |
E99538
|
entity |
| Predicate | lineOfAbrahamLincoln |
P55863
|
FINISHED |
| Object | extinct in direct legitimate descendants |
—
|
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: extinct in direct legitimate descendants | Statement: [Lincoln family, lineOfAbrahamLincoln, extinct in direct legitimate descendants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineOfAbrahamLincoln Context triple: [Lincoln family, lineOfAbrahamLincoln, extinct in direct legitimate descendants]
-
A.
percentageForAbrahamLincoln
Indicates the percentage value associated with Abraham Lincoln in a given context, such as support, votes, or representation.
-
B.
GettysburgAddressSpeaker
Indicates the entity that delivered or spoke the Gettysburg Address.
-
C.
favoritePresident
Indicates that one person regards a particular president as their preferred or most liked choice among all presidents.
-
D.
hadInauguralPoemBy
Indicates that an inauguration event featured a specific poem written or delivered by a particular poet.
-
E.
Lincoln Lewis
Indicates a relationship or association involving the entity or name "Lincoln Lewis," such as authorship, participation, or attribution in a given context.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352adce588190b9e6ed53458aa1e1 |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:20 p.m.