Triple
T3589217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baines |
E75984
|
entity |
| Predicate | nameBearerPositionNumber |
P13174
|
FINISHED |
| Object | 36th President of the United States |
—
|
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: 36th President of the United States | Statement: [Baines, nameBearerPositionNumber, 36th President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameBearerPositionNumber Context triple: [Baines, nameBearerPositionNumber, 36th President of the United States]
-
A.
namePosition
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
-
B.
namedAfterPosition
chosen
Indicates that an entity is named after a specific position, role, or rank associated with it.
-
C.
positionInFamilyBirthOrder
Indicates the relative order in which a person was born within their family (e.g., first-born, middle child, last-born).
-
D.
namePrefix
Indicates that one entity is a prefix or leading part of another entity’s name.
-
E.
namedForRank
Indicates that something is named after a specific rank or title held by an entity.
- F. None of above.
Provenance (3 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13b2970819084181425b01f9595 |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.