Triple
T14145898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Stablinski |
E350547
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Stab
Stab is the nickname of Jean Stablinski, a notable French professional road cyclist and former world champion.
|
E1081542
|
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: Stab | Statement: [Jean Stablinski, hasNickname, Stab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stab Context triple: [Jean Stablinski, hasNickname, Stab]
-
A.
Back Stabbers
"Back Stabbers" is a classic 1972 soul song by The O'Jays, renowned for its smooth Philadelphia soul sound and lyrics about betrayal and deceit.
-
B.
The Strangler
The Strangler is a 1964 crime thriller film starring Victor Buono as a disturbed serial killer preying on young women.
-
C.
The Killer
The Killer is a 1989 Hong Kong action film renowned for its stylized gunplay, emotional depth, and influential blend of heroic bloodshed and crime drama.
-
D.
The Killer
The Killer is the famous nickname of rock and roll pioneer Jerry Lee Lewis, known for his wild piano performances and energetic stage presence.
-
E.
Indian Killer
Indian Killer is a dark, literary crime novel by Sherman Alexie that explores themes of identity, racism, and violence through the story of a serial killer targeting white men in Seattle.
- 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: Stab Triple: [Jean Stablinski, hasNickname, Stab]
Generated description
Stab is the nickname of Jean Stablinski, a notable French professional road cyclist and former world champion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stab Target entity description: Stab is the nickname of Jean Stablinski, a notable French professional road cyclist and former world champion.
-
A.
Back Stabbers
"Back Stabbers" is a classic 1972 soul song by The O'Jays, renowned for its smooth Philadelphia soul sound and lyrics about betrayal and deceit.
-
B.
The Strangler
The Strangler is a 1964 crime thriller film starring Victor Buono as a disturbed serial killer preying on young women.
-
C.
The Killer
The Killer is a 1989 Hong Kong action film renowned for its stylized gunplay, emotional depth, and influential blend of heroic bloodshed and crime drama.
-
D.
The Killer
The Killer is the famous nickname of rock and roll pioneer Jerry Lee Lewis, known for his wild piano performances and energetic stage presence.
-
E.
Indian Killer
Indian Killer is a dark, literary crime novel by Sherman Alexie that explores themes of identity, racism, and violence through the story of a serial killer targeting white men in Seattle.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1d8c448190bd223258b28fecc9 |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce113c11481908751ecf62afc29a5 |
completed | May 7, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1a848f081909d96849a14230be1 |
completed | May 7, 2026, 7:02 p.m. |
Created at: April 10, 2026, 12:53 a.m.