Triple
T23536905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singspiel |
E577622
|
entity |
| Predicate | notableProgeny |
P50188
|
FINISHED |
| Object |
Hibaayeb
Hibaayeb is a British-bred Thoroughbred racehorse and broodmare best known for winning the 2009 Fillies' Mile and later producing successful offspring as a dam.
|
E1591923
|
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: Hibaayeb | Statement: [Singspiel, notableProgeny, Hibaayeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hibaayeb Context triple: [Singspiel, notableProgeny, Hibaayeb]
-
A.
Habaja
Habaja is a small village located in Kose Parish in northern Estonia.
-
B.
Habay
Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
-
C.
Haisyn
Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
-
D.
Kabiyesi
Kabiyesi is a Yoruba honorific style of address reserved for paramount traditional rulers, signifying their supreme and unquestionable authority.
-
E.
Ghabaghib
Ghabaghib is a town in southern Syria located within the Daraa Governorate, known historically as a small rural settlement along key regional routes.
- 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: Hibaayeb Triple: [Singspiel, notableProgeny, Hibaayeb]
Generated description
Hibaayeb is a British-bred Thoroughbred racehorse and broodmare best known for winning the 2009 Fillies' Mile and later producing successful offspring as a dam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hibaayeb Target entity description: Hibaayeb is a British-bred Thoroughbred racehorse and broodmare best known for winning the 2009 Fillies' Mile and later producing successful offspring as a dam.
-
A.
Habaja
Habaja is a small village located in Kose Parish in northern Estonia.
-
B.
Habay
Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
-
C.
Haisyn
Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
-
D.
Kabiyesi
Kabiyesi is a Yoruba honorific style of address reserved for paramount traditional rulers, signifying their supreme and unquestionable authority.
-
E.
Ghabaghib
Ghabaghib is a town in southern Syria located within the Daraa Governorate, known historically as a small rural settlement along key regional routes.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1738bc81909a7b761ddbaa1883 |
completed | April 29, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf59cfa48190b7be6602dfef5fb6 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce35a16a08190969f6811be7e471c |
completed | May 19, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce4d4321c8190af0fe04f728c4f67 |
completed | May 19, 2026, 10:31 p.m. |
Created at: April 17, 2026, 6:10 p.m.