Triple
T6151924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oswald |
E137223
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Oz
Oz is a common diminutive or nickname for the given name Oswald.
|
E571197
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Oswald, hasDiminutive, Oz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oz Context triple: [Oswald, hasDiminutive, Oz]
-
A.
Oz
Oz is a gritty HBO drama series set in a maximum-security prison, known for its dark, realistic portrayal of inmate life and institutional violence.
-
B.
OZ
OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
-
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.
Land of Oz
The Land of Oz is a fantastical, magical country from L. Frank Baum’s children’s book series, best known as the colorful, whimsical world visited by Dorothy and her friends.
-
E.
Return to Oz
Return to Oz is a 1985 dark fantasy film that serves as an unofficial sequel to The Wizard of Oz, blending elements from several of L. Frank Baum’s Oz books into a darker, more surreal adventure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oz Triple: [Oswald, hasDiminutive, Oz]
Generated description
Oz is a common diminutive or nickname for the given name Oswald.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oz Target entity description: Oz is a common diminutive or nickname for the given name Oswald.
-
A.
Oz
Oz is a gritty HBO drama series set in a maximum-security prison, known for its dark, realistic portrayal of inmate life and institutional violence.
-
B.
OZ
OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
-
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.
Land of Oz
The Land of Oz is a fantastical, magical country from L. Frank Baum’s children’s book series, best known as the colorful, whimsical world visited by Dorothy and her friends.
-
E.
Return to Oz
Return to Oz is a 1985 dark fantasy film that serves as an unofficial sequel to The Wizard of Oz, blending elements from several of L. Frank Baum’s Oz books into a darker, more surreal adventure.
- F. None of above. chosen
Provenance (5 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cfcb5cc8190b998e92211810442 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1360d84e081909ff6c06e3bd54aee |
completed | March 23, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_69c137d902c08190a857814ff70a82eb |
completed | March 23, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1389690e88190b1a9045c3a8fc892 |
completed | March 23, 2026, 12:56 p.m. |
Created at: March 22, 2026, 4:16 p.m.