Triple
T8112291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Wilding |
E189383
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
|
E712826
|
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: Zarak | Statement: [Michael Wilding, notableWork, Zarak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zarak Context triple: [Michael Wilding, notableWork, Zarak]
-
A.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
-
B.
Azdak
Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
-
C.
Zaurak
Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
-
D.
Ziro
Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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: Zarak Triple: [Michael Wilding, notableWork, Zarak]
Generated description
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zarak Target entity description: Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
A.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
-
B.
Azdak
Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
-
C.
Zaurak
Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
-
D.
Ziro
Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
-
E.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432bcb648190b5ddbcc2a3dbc9b1 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9433a5848190aac09a2589061b53 |
completed | April 1, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69cc963fe2f8819098ad6a726e226189 |
completed | April 1, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc97781c0481909d21293633d111be |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:32 p.m.