Triple
T625535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Weinstein Company |
E15809
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lion |
E62098
|
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: Lion | Statement: [The Weinstein Company, notableWork, Lion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lion Context triple: [The Weinstein Company, notableWork, Lion]
-
A.
Lion
chosen
Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
-
B.
Lions
Lions is the commonly used short name for the Brisbane Lions, a professional Australian rules football club based in Brisbane that competes in the Australian Football League (AFL).
-
C.
Leone
Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
-
D.
Belgian lion
The Belgian lion is a heraldic symbol representing strength and sovereignty, prominently used as the national emblem of Belgium.
-
E.
Leo the Lion
Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5670380948190954bbdf802ed403c |
completed | March 2, 2026, 10:31 a.m. |
Created at: March 1, 2026, 7:35 p.m.