Triple
T15043240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriette |
E379154
|
entity |
| Predicate | typicalNameBearers |
P116510
|
FINISHED |
| Object | women |
—
|
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: women | Statement: [Harriette, typicalNameBearers, women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNameBearers Context triple: [Harriette, typicalNameBearers, women]
-
A.
typicalBearers
Indicates that certain entities are the usual or characteristic holders, users, or possessors of a given property, role, or attribute.
-
B.
nameBearerType
Indicates the specific role or capacity in which an entity bears or carries a given name (e.g., as a person, place, organization, or other type of name bearer).
-
C.
typicalBearersNationality
Indicates the nationality that entities of a given type or class are most commonly associated with.
-
D.
bearerAnglicizedNameOf
Indicates that one entity is the anglicized (English-adapted) version of the name borne by another entity.
-
E.
usedAsStageNameBySomeBearers
Indicates that the name is employed as a stage name by at least some of its bearers.
- F. None of above. chosen
Provenance (4 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 3 a.m.