Triple
T30057947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Headquarters (Riley's mind) |
E763785
|
entity |
| Predicate | ageOfHost |
P168395
|
FINISHED |
| Object | 11-year-old Riley Andersen |
—
|
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: 11-year-old Riley Andersen | Statement: [Headquarters (Riley's mind), ageOfHost, 11-year-old Riley Andersen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfHost Context triple: [Headquarters (Riley's mind), ageOfHost, 11-year-old Riley Andersen]
-
A.
hostStarAge
Indicates the age of the star that serves as the host in the relationship or system being described.
-
B.
hostAgePreference
Indicates a relationship where a host has a specified preferred age or age range for the entities they host.
-
C.
ageAtParty
Indicates the age a person (or entity) has at the time a particular party or event takes place.
-
D.
ageSystem
Indicates a relationship where one entity specifies or uses a particular system or standard for expressing age (e.g., calendar system, counting convention, or age-measurement method) for another entity.
-
E.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ca0e7848190a9d4d7ca97f081a7 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:57 p.m.