Triple
T24267851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberts family |
E604890
|
entity |
| Predicate | notableMemberTitle |
P20021
|
FINISHED |
| Object | Earl |
—
|
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: Earl | Statement: [Roberts family, notableMemberTitle, Earl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMemberTitle Context triple: [Roberts family, notableMemberTitle, Earl]
-
A.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
B.
notableFamilyMemberTitle
Indicates that a person has a family member whose title or designation is notable or significant.
-
C.
notableTitleHeld
chosen
Indicates that an entity has held a distinguished or noteworthy title, rank, or official position.
-
D.
notableTitleType
Indicates that a title associated with an entity is of a type considered notable or especially significant.
-
E.
notableMemberCommonName
Indicates that the object is the commonly used or well-known name of a notable member associated with the subject.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d55b4708190ad819403011cf64f |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.