Triple
T26403698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haley Graham |
E663772
|
entity |
| Predicate | formerGym |
P151051
|
FINISHED |
| Object |
Worlds Gymnastics
Worlds Gymnastics is a gymnastics training facility known for developing competitive gymnasts like Haley Graham.
|
E1722352
|
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: Worlds Gymnastics | Statement: [Haley Graham, formerGym, Worlds Gymnastics]
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: Worlds Gymnastics Triple: [Haley Graham, formerGym, Worlds Gymnastics]
Generated description
Worlds Gymnastics is a gymnastics training facility known for developing competitive gymnasts like Haley Graham.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerGym Context triple: [Haley Graham, formerGym, Worlds Gymnastics]
-
A.
gymName
Indicates the name assigned to a gym in the relationship.
-
B.
hasGymSystem
Indicates that an entity is equipped with or utilizes a particular gym or fitness system.
-
C.
hasGym
Indicates that an entity possesses, contains, or provides access to a gym facility.
-
D.
associatedWithGym
chosen
Indicates a relationship where an entity has a connection or affiliation with a gym, such as membership, usage, or formal partnership.
-
E.
formerArena
Indicates that an entity was previously used as an arena but no longer serves that function.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a119a8d9c0c81908f9e1cc351167667 |
completed | May 23, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_6a119c7290c88190873129f6193a2121 |
completed | May 23, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119cf886e88190aa83f0621903f248 |
completed | May 23, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 26, 2026, 11:33 p.m.