Triple
T1435112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith |
E30542
|
entity |
| Predicate | usedAsFictionalCharacterSurname |
P29280
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Smith, usedAsFictionalCharacterSurname, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsFictionalCharacterSurname Context triple: [Smith, usedAsFictionalCharacterSurname, yes]
-
A.
usedAsSurname
Indicates that something functions as a family name borne by a person or group of people.
-
B.
usedAsSurnameInCountry
Indicates that a particular name functions as a family surname within the specified country.
-
C.
usedWithSurname
Indicates that something (typically a given name or title) is used together with a particular surname in naming or reference.
-
D.
surnameVariant
Indicates that one surname is an alternative spelling, form, or variation of another surname.
-
E.
familyName
Indicates that one entity is the family (last) name associated with another entity (typically a person).
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.