Triple
T16190099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubie Halloween |
E392911
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Noah Schnapp |
E117143
|
NE 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: Noah Schnapp | Statement: [Hubie Halloween, starring, Noah Schnapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Schnapp Context triple: [Hubie Halloween, starring, Noah Schnapp]
-
A.
Noah Schnapp
chosen
Noah Schnapp is an American actor best known for playing Will Byers in the Netflix science-fiction horror series "Stranger Things."
-
B.
Jon Michael Hill
Jon Michael Hill is an American actor known for his work in theater, television, and film, including a prominent role on the TV series "Elementary."
-
C.
Jacob Tremblay
Jacob Tremblay is a Canadian actor known for his acclaimed child performances in films such as "Room," "Wonder," and various animated features.
-
D.
Millie Bobby Brown
Millie Bobby Brown is a British actress and producer best known for her breakout role as Eleven in the Netflix series "Stranger Things."
-
E.
Finn Wolfhard
Finn Wolfhard is a Canadian actor and musician best known for playing Mike Wheeler in the Netflix series "Stranger Things" and for roles in films such as "It" and "Ghostbusters: Afterlife."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d4ab8081909a02e5138b29b83b |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0750f08190a2fce65124d8dcc0 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.