Triple
T5065412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucretia Rudolph Garfield |
E114130
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
|
E489826
|
NE FINISHED |
How this triple was built (4 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: Rudolph | Statement: [Lucretia Rudolph Garfield, familyName, Rudolph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolph Context triple: [Lucretia Rudolph Garfield, familyName, Rudolph]
-
A.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
-
B.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
C.
Blitzen the reindeer
Blitzen the reindeer is one of Santa Claus’s legendary flying reindeer, traditionally depicted as helping pull Santa’s sleigh on Christmas Eve.
-
D.
Santa Claus
Santa Claus is a legendary, gift-giving figure in Western culture typically depicted as a jolly, bearded man in a red suit who delivers presents to children on Christmas Eve.
-
E.
Dasher
Dasher is one of Santa Claus’s traditional flying reindeer, commonly named in the famous Christmas poem “A Visit from St. Nicholas.”
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rudolph Triple: [Lucretia Rudolph Garfield, familyName, Rudolph]
Generated description
Rudolph is a surname of German origin borne by various notable individuals and families.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rudolph Target entity description: Rudolph is a surname of German origin borne by various notable individuals and families.
-
A.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
B.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
-
C.
Blitzen the reindeer
Blitzen the reindeer is one of Santa Claus’s legendary flying reindeer, traditionally depicted as helping pull Santa’s sleigh on Christmas Eve.
-
D.
Santa Claus
Santa Claus is a legendary, gift-giving figure in Western culture typically depicted as a jolly, bearded man in a red suit who delivers presents to children on Christmas Eve.
-
E.
Dasher
Dasher is one of Santa Claus’s traditional flying reindeer, commonly named in the famous Christmas poem “A Visit from St. Nicholas.”
- F. None of above. chosen
Provenance (5 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49ae8c081908ef8c2e2dbbe3b49 |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea56407148190a2ba646c779e738b |
completed | March 21, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea610b7ac8190b0dcfaa67ba80431 |
completed | March 21, 2026, 2:07 p.m. |
Created at: March 20, 2026, 1:38 p.m.