Triple
T30832185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Jacob Astor VI |
E785252
|
entity |
| Predicate | ordinalInName |
P80266
|
FINISHED |
| Object | VI |
—
|
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: VI | Statement: [John Jacob Astor VI, ordinalInName, VI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalInName Context triple: [John Jacob Astor VI, ordinalInName, VI]
-
A.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
B.
ordinalInOffice
Indicates the numerical order or rank of an individual’s term or tenure in a particular office or position.
-
C.
ordinalInFamilyTitle
chosen
Indicates that a title or role specifies an entity’s numerical position within a family sequence (e.g., first, second, third).
-
D.
cardinalName
Indicates that an entity has a specific cardinal (numerical order) name or label.
-
E.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690fa95848190bee45bbb1a756955 |
completed | May 3, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.