Triple
T5243538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wednesday Addams |
E118402
|
entity |
| Predicate | ageInMusical |
P49987
|
FINISHED |
| Object | teenager |
—
|
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: teenager | Statement: [Wednesday Addams, ageInMusical, teenager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInMusical Context triple: [Wednesday Addams, ageInMusical, teenager]
-
A.
performerAgeAtRecording
chosen
Indicates the age of the performer at the time the recording was made.
-
B.
musicalAttribute
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
C.
yearOfBirth
Indicates the specific calendar year in which an entity was born.
-
D.
yearTurned
Indicates the specific year in which an entity changed state, status, or classification (e.g., when it became, reached, or turned into something).
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4da7308190856cdcee9cca41eb |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.