Triple
T9673423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nat Lofthouse |
E234086
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Lofty
Lofty is the nickname of Nat Lofthouse, the legendary English footballer famed for his prolific goal-scoring with Bolton Wanderers and England in the mid-20th century.
|
E813979
|
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: Lofty | Statement: [Nat Lofthouse, nickname, Lofty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lofty Context triple: [Nat Lofthouse, nickname, Lofty]
-
A.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
B.
Elevate
Elevate was Virgin America's frequent-flyer loyalty program, allowing passengers to earn and redeem points for flights and related travel benefits.
-
C.
Wysoka
Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
-
D.
Highness
Highness is a formal style or title used to address or refer to certain members of a royal or princely family.
-
E.
Augst
Augst is a municipality in the canton of Basel-Landschaft in northern Switzerland, known for its proximity to the ancient Roman site of Augusta Raurica.
- 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: Lofty Triple: [Nat Lofthouse, nickname, Lofty]
Generated description
Lofty is the nickname of Nat Lofthouse, the legendary English footballer famed for his prolific goal-scoring with Bolton Wanderers and England in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lofty Target entity description: Lofty is the nickname of Nat Lofthouse, the legendary English footballer famed for his prolific goal-scoring with Bolton Wanderers and England in the mid-20th century.
-
A.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
B.
Elevate
Elevate was Virgin America's frequent-flyer loyalty program, allowing passengers to earn and redeem points for flights and related travel benefits.
-
C.
Wysoka
Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
-
D.
Highness
Highness is a formal style or title used to address or refer to certain members of a royal or princely family.
-
E.
Augst
Augst is a municipality in the canton of Basel-Landschaft in northern Switzerland, known for its proximity to the ancient Roman site of Augusta Raurica.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6c05c481909885bfdb850e7527 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a2d030c8190ada52e855bc9afc8 |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18bf051448190aaa3a7198c23fd39 |
completed | April 4, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18c8783f08190858681b51096fe56 |
completed | April 4, 2026, 10:11 p.m. |
Created at: March 30, 2026, 8:15 p.m.