Triple
T6875137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie "Stiffy" Byng |
E158653
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Stiffy
Stiffy is the playful nickname of Stephanie Byng, a character from P. G. Wodehouse’s Jeeves and Wooster stories.
|
E625821
|
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: Stiffy | Statement: [Stephanie "Stiffy" Byng, nickname, Stiffy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stiffy Context triple: [Stephanie "Stiffy" Byng, nickname, Stiffy]
-
A.
The Stick
The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
-
B.
Stinker
Stinker is a derisive nickname given to the character Gollum in J.R.R. Tolkien’s Middle-earth legendarium, particularly in The Lord of the Rings.
-
C.
Sucker
Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
-
D.
Sucker
"Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
-
E.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
- 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: Stiffy Triple: [Stephanie "Stiffy" Byng, nickname, Stiffy]
Generated description
Stiffy is the playful nickname of Stephanie Byng, a character from P. G. Wodehouse’s Jeeves and Wooster stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stiffy Target entity description: Stiffy is the playful nickname of Stephanie Byng, a character from P. G. Wodehouse’s Jeeves and Wooster stories.
-
A.
The Stick
The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
-
B.
Stinker
Stinker is a derisive nickname given to the character Gollum in J.R.R. Tolkien’s Middle-earth legendarium, particularly in The Lord of the Rings.
-
C.
Sucker
Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
-
D.
Sucker
"Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
-
E.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742b66ca08190bed17fa3ab6733ef |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c7441117ec8190b9b355c474289010 |
completed | March 28, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c744a20bd481908a7c6aaa6383a68f |
completed | March 28, 2026, 3:01 a.m. |
Created at: March 27, 2026, 2:22 p.m.