Triple
T1854080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Rae Springsteen |
E41661
|
entity |
| Predicate | hasHorse |
P13551
|
FINISHED |
| Object |
Vindicat W
Vindicat W is a show jumping horse best known for competing with American equestrian Jessica Springsteen.
|
E206472
|
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: Vindicat W | Statement: [Jessica Rae Springsteen, hasHorse, Vindicat W]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vindicat W Context triple: [Jessica Rae Springsteen, hasHorse, Vindicat W]
-
A.
Vence
Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
-
B.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
C.
Scorpion W2
Scorpion W2 is a modern U.S. Army camouflage pattern designed to provide effective concealment across a wide range of environments.
-
D.
Eliminator
Eliminator is a high-performance, sport-oriented trim package of the Mercury Cougar muscle car, known for its powerful engines and distinctive styling.
-
E.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
- 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: Vindicat W Triple: [Jessica Rae Springsteen, hasHorse, Vindicat W]
Generated description
Vindicat W is a show jumping horse best known for competing with American equestrian Jessica Springsteen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vindicat W Target entity description: Vindicat W is a show jumping horse best known for competing with American equestrian Jessica Springsteen.
-
A.
Vence
Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
-
B.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
C.
Scorpion W2
Scorpion W2 is a modern U.S. Army camouflage pattern designed to provide effective concealment across a wide range of environments.
-
D.
Eliminator
Eliminator is a high-performance, sport-oriented trim package of the Mercury Cougar muscle car, known for its powerful engines and distinctive styling.
-
E.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
- 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.