Triple
T3505522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchioness |
E74065
|
entity |
| Predicate | correspondsToMaleTitle |
P15994
|
FINISHED |
| Object | Marquess |
—
|
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: Marquess | Statement: [Marchioness, correspondsToMaleTitle, Marquess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToMaleTitle Context triple: [Marchioness, correspondsToMaleTitle, Marquess]
-
A.
officeHolderTitleWhenMale
Indicates the specific title used for a person holding an office when that office holder is male.
-
B.
hasGenderedTitle
Indicates that an entity is associated with a title or form of address that is explicitly marked for a particular gender.
-
C.
maleEquivalent
chosen
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
D.
namedForTitle
Indicates that one entity is named after or in honor of the title (such as a rank, honorific, or formal designation) associated with another entity.
-
E.
isIndividualTitle
Indicates that a given title refers to a single, specific individual rather than a group, organization, or collective 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf38e988190998d722b95830411 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.