Triple
T18637336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jocelyn (The Idol) |
E455585
|
entity |
| Predicate | hasManager |
P2962
|
FINISHED |
| Object | Destiny (The Idol) |
—
|
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: Destiny (The Idol) | Statement: [Jocelyn (The Idol), hasManager, Destiny (The Idol)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Destiny (The Idol) Context triple: [Jocelyn (The Idol), hasManager, Destiny (The Idol)]
-
A.
The Idol
The Idol is a 2015 Palestinian drama film directed by Hany Abu-Assad that tells the inspirational true story of Gaza singer Mohammed Assaf’s rise to fame on Arab Idol.
-
B.
The Idol
The Idol is a silent-era film best known for featuring American actress Louise Glaum in a prominent role.
-
C.
The Idol
chosen
The Idol is a controversial HBO drama series co-created by Sam Levinson that follows a troubled pop star, played by Lily-Rose Depp, as she becomes entangled with a self-help cult leader in the Los Angeles music industry.
-
D.
IDOL
IDOL is the state agency responsible for enforcing labor laws and promoting workplace safety and health in Indiana.
-
E.
IDOL
IDOL is the state agency responsible for enforcing labor laws and protecting workers' rights in Illinois.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc9fa6c81909e1b988bdfb5ebcc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.