Triple
T1124244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truman family |
E24682
|
entity |
| Predicate | politicalLegacyIncludes |
P25224
|
FINISHED |
| Object | U.S. presidency |
—
|
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: U.S. presidency | Statement: [Truman family, politicalLegacyIncludes, U.S. presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalLegacyIncludes Context triple: [Truman family, politicalLegacyIncludes, U.S. presidency]
-
A.
officeHolders
Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
-
B.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
C.
notableOfficeHolder
Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
-
D.
electoralHistory
Indicates the historical record of elections or voting outcomes associated with an entity.
-
E.
politicalLeaderFeatured
Indicates that a political leader is prominently highlighted or showcased in a given context, such as media, events, or materials.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.