Triple
T27937482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hanks (narrator / older Hero Boy) |
E700651
|
entity |
| Predicate | adultVersionOf |
P107064
|
FINISHED |
| Object | Hero Boy |
—
|
NE NERFINISHED |
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: Hero Boy | Statement: [Tom Hanks (narrator / older Hero Boy), adultVersionOf, Hero Boy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adultVersionOf Context triple: [Tom Hanks (narrator / older Hero Boy), adultVersionOf, Hero Boy]
-
A.
adultStatus
Indicates that an entity has reached a recognized age or stage of maturity qualifying it as an adult in a given context.
-
B.
adultForm
chosen
Indicates that one entity is the mature or fully developed form of another entity.
-
C.
adultRole
Indicates that an entity fulfills an adult-specific role or responsibility in relation to another entity or context.
-
D.
containsAdultContent
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
-
E.
adultStageCharacteristic
Indicates that the specified characteristic is exhibited during the adult life stage of an organism.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:14 p.m.