Triple
T29251166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Whedon |
E741570
|
entity |
| Predicate | hasFamilyOccupationTradition |
P104544
|
FINISHED |
| Object | writing |
—
|
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: writing | Statement: [Tom Whedon, hasFamilyOccupationTradition, writing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyOccupationTradition Context triple: [Tom Whedon, hasFamilyOccupationTradition, writing]
-
A.
hasOccupationTradition
chosen
Indicates that an entity is associated with a customary or historically established occupation or professional role.
-
B.
hasThreeGenerationsInSameProfession
Indicates that within a family, three successive generations share and practice the same profession.
-
C.
hasFamilyBackgroundIn
Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
-
D.
fieldOfActivityOfFamily
Indicates the domain, profession, or area of activity in which a family is or was primarily engaged.
-
E.
traditionalFamily
Indicates a relationship where individuals are connected within a conventional family structure, typically characterized by established roles and norms based on long-standing cultural or societal expectations.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 12:34 p.m.