Triple
T36067046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacRoss |
E1043260
|
entity |
| Predicate | derivedFromGivenNameOrSurname |
P54694
|
FINISHED |
| Object | Ross |
—
|
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: Ross | Statement: [MacRoss, derivedFromGivenNameOrSurname, Ross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivedFromGivenNameOrSurname Context triple: [MacRoss, derivedFromGivenNameOrSurname, Ross]
-
A.
familyNameDerivedFrom
chosen
Indicates that one entity’s family name originates from, or is etymologically derived from, another entity.
-
B.
commonNameDerivedFrom
Indicates that the commonly used name of one entity originates from, or is derived based on, another entity.
-
C.
correspondsToSurname
Indicates that one entity is the surname or family name associated with, matching, or representing the other entity.
-
D.
givenNameBy
Indicates that one entity has been assigned or provided a specific given (first) name by another entity.
-
E.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.