Triple
T35208174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dis-arm-her |
E1016596
|
entity |
| Predicate | associatedWithWrestlerNickname |
P183379
|
FINISHED |
| Object |
“The Man”
"The Man" is a popular professional wrestling nickname most famously used by WWE star Becky Lynch to signify her status as a top performer.
|
E2131846
|
NE FINISHED |
How this triple was built (3 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: “The Man” | Statement: [Dis-arm-her, associatedWithWrestlerNickname, “The Man”]
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: “The Man” Triple: [Dis-arm-her, associatedWithWrestlerNickname, “The Man”]
Generated description
"The Man" is a popular professional wrestling nickname most famously used by WWE star Becky Lynch to signify her status as a top performer.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWrestlerNickname Context triple: [Dis-arm-her, associatedWithWrestlerNickname, “The Man”]
-
A.
nicknameOfAssociatedWrestler
chosen
Indicates that one entity is a nickname that is used to refer to an associated professional wrestler.
-
B.
alignedWithWrestlerNickname
Indicates that one entity is associated or in agreement with a particular wrestler’s nickname.
-
C.
associatedWrestler
Indicates that one entity is connected or linked to a particular wrestler, typically through participation, representation, or relevant involvement.
-
D.
WWENameVariant
Indicates that one name is an alternative or variant form of another name used within WWE (World Wrestling Entertainment) contexts.
-
E.
wrestledWith
Indicates that one entity engaged in a physical wrestling contest or struggle with another entity.
- F. None of above.
Provenance (6 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380406450481909d89f33c59aa7da1 |
completed | June 21, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a3804ebed608190995d50cb0cf6243a |
completed | June 21, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a380598bfd48190a3d7d541ff5d5cde |
completed | June 21, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.