Triple
T34983627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First-tier Tribunal (Social Security and Child Support) |
E1008881
|
entity |
| Predicate | hasChamberPresident |
P112
|
FINISHED |
| Object |
Chamber President of the Social Entitlement Chamber
The Chamber President of the Social Entitlement Chamber is the senior judicial leader responsible for overseeing the work, judges, and administration of the Social Entitlement Chamber within the First-tier Tribunal (Social Security and Child Support) in the UK.
|
E2119782
|
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: Chamber President of the Social Entitlement Chamber | Statement: [First-tier Tribunal (Social Security and Child Support), hasChamberPresident, Chamber President of the Social Entitlement Chamber]
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: Chamber President of the Social Entitlement Chamber Triple: [First-tier Tribunal (Social Security and Child Support), hasChamberPresident, Chamber President of the Social Entitlement Chamber]
Generated description
The Chamber President of the Social Entitlement Chamber is the senior judicial leader responsible for overseeing the work, judges, and administration of the Social Entitlement Chamber within the First-tier Tribunal (Social Security and Child Support) in the UK.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChamberPresident Context triple: [First-tier Tribunal (Social Security and Child Support), hasChamberPresident, Chamber President of the Social Entitlement Chamber]
-
A.
hasPresident
chosen
Indicates that an entity holds the position or role of president for another entity.
-
B.
hasVicePresidentFor
Indicates that an entity has a specific person or role serving as its vice president for a particular domain, function, or area of responsibility.
-
C.
lastCommissionerOrPresident
Indicates that the subject is the most recent individual to have served as commissioner or president of the specified organization or body.
-
D.
hasPresidentialMember
Indicates that an entity includes or is associated with a member who holds or has held the position of president.
-
E.
hasExecutiveSeat
Indicates that an entity holds a position or seat with executive authority or decision-making power within an organization or governing body.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37b28222a4819083274fb2c3e40f8e |
completed | June 21, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a37b30dbce8819090cd5023e0bb4279 |
completed | June 21, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37b3e4e4e48190a694902881b3a08f |
completed | June 21, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 3, 2026, 4:01 p.m.