Triple
T37032142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biały Domek |
E916523
|
entity |
| Predicate | firstPresidentialOccupant |
P205700
|
FINISHED |
| Object | John Adams |
E316
|
NE 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: John Adams | Statement: [Biały Domek, firstPresidentialOccupant, John Adams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPresidentialOccupant Context triple: [Biały Domek, firstPresidentialOccupant, John Adams]
-
A.
firstElectedPresident
Indicates that the subject became the first person ever elected to the office of president of the specified entity or organization.
-
B.
firstPresidentUnder
Indicates that one entity is the first president to serve under, or within the tenure or authority of, another entity (such as a country, organization, or regime).
-
C.
foundingPresident
Indicates that the subject is the person who originally established an organization, institution, or entity and served as its first president.
-
D.
firstElectedAsPresident
Indicates the event or relationship in which a person is elected to the office of president for the first time.
-
E.
wasFirstPresidentAfter
Indicates that one entity served as the first president immediately following another specified entity.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c37a5988190b7157344e52d5361 |
completed | June 26, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.