Triple
T33514924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Montparnasse |
E858340
|
entity |
| Predicate | refersToPersonWithBirthName |
P80791
|
FINISHED |
| Object | Julius Mordecai Pincas |
—
|
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: Julius Mordecai Pincas | Statement: [Prince of Montparnasse, refersToPersonWithBirthName, Julius Mordecai Pincas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPersonWithBirthName Context triple: [Prince of Montparnasse, refersToPersonWithBirthName, Julius Mordecai Pincas]
-
A.
appliesToPersonBirthName
Indicates that the referenced value is used as the birth name of the specified person.
-
B.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
C.
refersToPersonFrom
Indicates that one entity makes reference to, mentions, or is about a person originating from or associated with a particular place or group.
-
D.
bearerBirthNameOf
chosen
Indicates that one entity is the birth name originally given to and borne by another entity.
-
E.
refersToPersonBornOn
Indicates that one entity makes reference to, or is associated with, a specific person who was born on a given date.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 1, 2026, 1:39 a.m.