Triple
T32554380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stargirl (Courtney Whitmore) |
E832058
|
entity |
| Predicate | inspiredByRealPerson |
P86334
|
FINISHED |
| Object | Geoff Johns’s sister Courtney Johns |
—
|
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: Geoff Johns’s sister Courtney Johns | Statement: [Stargirl (Courtney Whitmore), inspiredByRealPerson, Geoff Johns’s sister Courtney Johns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByRealPerson Context triple: [Stargirl (Courtney Whitmore), inspiredByRealPerson, Geoff Johns’s sister Courtney Johns]
-
A.
inspiredByFictionalCharacter
Indicates that an entity’s characteristics, actions, or creation are influenced or modeled after a specific fictional character.
-
B.
basedOnRealLife
Indicates that something is derived from, inspired by, or directly adapted from actual real-world events, people, or situations.
-
C.
realPersonDepicted
Indicates that a real, actual person (not fictional or generic) is visually represented or shown in the subject entity.
-
D.
basedOnHistoricalFigure
Indicates that something is derived from, inspired by, or modeled after a real historical person.
-
E.
characterRealWorldCounterpart
chosen
Indicates that a fictional character is based on, inspired by, or directly corresponds to a specific real-world person.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 1:02 a.m.