Triple
T1854079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Rae Springsteen |
E41661
|
entity |
| Predicate | hasHorse |
P13551
|
FINISHED |
| Object |
RMF Zecilie
RMF Zecilie is a show jumping horse ridden in international competition by American equestrian Jessica Springsteen.
|
E206471
|
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: RMF Zecilie | Statement: [Jessica Rae Springsteen, hasHorse, RMF Zecilie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMF Zecilie Context triple: [Jessica Rae Springsteen, hasHorse, RMF Zecilie]
-
A.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
B.
Sanz
Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
-
C.
Zan
Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
-
D.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
E.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
- 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: RMF Zecilie Triple: [Jessica Rae Springsteen, hasHorse, RMF Zecilie]
Generated description
RMF Zecilie is a show jumping horse ridden in international competition by American equestrian Jessica Springsteen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RMF Zecilie Target entity description: RMF Zecilie is a show jumping horse ridden in international competition by American equestrian Jessica Springsteen.
-
A.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
B.
Sanz
Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
-
C.
Zan
Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
-
D.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
E.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c2354081909ee4da7669932796 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c9c6208190a2793994a7f927bd |
completed | March 8, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69adcaf23e748190a031625208f4cf17 |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbf835b48190aaeb61f34f6aafdc |
completed | March 8, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:33 p.m.