Triple
T13511961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentimental Tommy |
E322661
|
entity |
| Predicate | followsLifeStage |
P43852
|
FINISHED |
| Object | childhood |
—
|
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: childhood | Statement: [Sentimental Tommy, followsLifeStage, childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsLifeStage Context triple: [Sentimental Tommy, followsLifeStage, childhood]
-
A.
followsAuthorLifeStage
Indicates that one entity’s progression or behavior is organized according to, or changes in correspondence with, the different life stages of an author.
-
B.
followsCharacterInLifeStage
Indicates that one entity chronologically succeeds or comes after another entity within a specific stage or period of life.
-
C.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
D.
exploresLifeStage
Indicates that one entity investigates, examines, or studies a particular stage in the life or development of another entity.
-
E.
followsLifeOf
chosen
Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.