Triple
T38110321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Christophe Napoléon |
E951636
|
entity |
| Predicate | paternalGreatGranduncle |
P190024
|
FINISHED |
| Object | Napoleon III |
—
|
NE NERFINISHED |
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: Napoleon III | Statement: [Jean-Christophe Napoléon, paternalGreatGranduncle, Napoleon III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paternalGreatGranduncle Context triple: [Jean-Christophe Napoléon, paternalGreatGranduncle, Napoleon III]
-
A.
paternalGreatGrandfatherOf
Indicates that one person is the father of another person's paternal grandfather.
-
B.
paternalGreatGrandparentOf
Indicates that one person is the father of another person’s grandparent, making him that person’s paternal great-grandparent.
-
C.
paternalGreatGrandmother
Indicates that one entity is the father’s father’s mother of another entity.
-
D.
paternalGrandcousin
Indicates a family relationship where one person is the child of a paternal first cousin of the other person’s parent (i.e., a cousin through the father’s side one generation removed).
-
E.
maternalGreatUncle
Indicates that one person is the brother of another person’s maternal grandparent (i.e., the brother of their mother’s parent).
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.