Triple
T6530085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CM Punk |
E152208
|
entity |
| Predicate | notableFeudWith |
P22787
|
FINISHED |
| Object |
MJF
MJF is a brash, charismatic professional wrestler known for his sharp-tongued promos, villainous persona, and prominent role as a top star in All Elite Wrestling (AEW).
|
E600041
|
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: MJF | Statement: [CM Punk, notableFeudWith, MJF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MJF Context triple: [CM Punk, notableFeudWith, MJF]
-
A.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
B.
MJ
MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
-
C.
MJ
MJ is a Master of Jurisprudence graduate law degree designed for non-lawyers seeking advanced legal knowledge in a specific field.
-
D.
MJT
MJT is the IATA airport code for Mytilene International Airport on the Greek island of Lesbos.
-
E.
MF
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
- 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: MJF Triple: [CM Punk, notableFeudWith, MJF]
Generated description
MJF is a brash, charismatic professional wrestler known for his sharp-tongued promos, villainous persona, and prominent role as a top star in All Elite Wrestling (AEW).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MJF Target entity description: MJF is a brash, charismatic professional wrestler known for his sharp-tongued promos, villainous persona, and prominent role as a top star in All Elite Wrestling (AEW).
-
A.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
B.
MJ
MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
-
C.
MJ
MJ is a Master of Jurisprudence graduate law degree designed for non-lawyers seeking advanced legal knowledge in a specific field.
-
D.
MJT
MJT is the IATA airport code for Mytilene International Airport on the Greek island of Lesbos.
-
E.
MF
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb7a85dc8190a97138a20728b43f |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cd05c54c81908bb612e7976bd10a |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdc3ea7c8190b63e9a19721fea80 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:46 p.m.