Triple
T17904663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobias Beecher |
E447670
|
entity |
| Predicate | firstAppearance |
P795
|
FINISHED |
| Object | Oz season 1 |
—
|
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: Oz season 1 | Statement: [Tobias Beecher, firstAppearance, Oz season 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oz season 1 Context triple: [Tobias Beecher, firstAppearance, Oz season 1]
-
A.
OZ
OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
-
B.
OZ
OZ is a Swiss record producer and songwriter best known for crafting chart-topping hip-hop and trap hits for artists like Travis Scott and Drake.
-
C.
Oz, the Great and Horrible
Oz, the Great and Horrible is the imposing yet ultimately humbug wizard who rules the Emerald City in L. Frank Baum’s classic novel "The Wonderful Wizard of Oz."
-
D.
The Oz Kids
The Oz Kids is an animated television series that follows the adventures of the children of classic Wizard of Oz characters in a modernized fantasy setting.
-
E.
TV series "Oz"
chosen
The TV series "Oz" is a gritty HBO prison drama that explores the lives, power struggles, and moral decay within a maximum-security correctional facility.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9b643c8190a01e9ec4caa88183 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.