Triple
T36338958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Representative of the UN Secretary-General on Internally Displaced Persons |
E894859
|
entity |
| Predicate | successorMandate |
P202281
|
FINISHED |
| Object |
UN Special Rapporteur on the Human Rights of Internally Displaced Persons
The UN Special Rapporteur on the Human Rights of Internally Displaced Persons is an independent expert appointed by the UN Human Rights Council to monitor, report on, and advise states and the international community regarding the protection and promotion of the rights of people displaced within their own countries.
|
E2180384
|
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: UN Special Rapporteur on the Human Rights of Internally Displaced Persons | Statement: [Representative of the UN Secretary-General on Internally Displaced Persons, successorMandate, UN Special Rapporteur on the Human Rights of Internally Displaced Persons]
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: UN Special Rapporteur on the Human Rights of Internally Displaced Persons Triple: [Representative of the UN Secretary-General on Internally Displaced Persons, successorMandate, UN Special Rapporteur on the Human Rights of Internally Displaced Persons]
Generated description
The UN Special Rapporteur on the Human Rights of Internally Displaced Persons is an independent expert appointed by the UN Human Rights Council to monitor, report on, and advise states and the international community regarding the protection and promotion of the rights of people displaced within their own countries.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorMandate Context triple: [Representative of the UN Secretary-General on Internally Displaced Persons, successorMandate, UN Special Rapporteur on the Human Rights of Internally Displaced Persons]
-
A.
successorAsChief
Indicates that one entity becomes the next chief, taking over the leadership role from another entity.
-
B.
successorProvision
Indicates that one provision follows and replaces or continues the effect of another provision in sequence.
-
C.
successorHasWiderPowers
Indicates that the successor entity holds broader or more extensive powers or authority than its predecessor.
-
D.
successorCampaign
Indicates that one campaign directly follows and continues or replaces another campaign in sequence.
-
E.
successorInCountry
Indicates that one entity takes over a role, position, or function from another entity within the same country.
- F. None of above. chosen
Provenance (7 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a006be462288190ae18e1567e2ad29f |
completed | May 10, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39a31e69448190a4771e22bdd11906 |
completed | June 22, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_6a39a3e4a9488190a77ea18c86b5af48 |
completed | June 22, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39a49278088190b10c591fec7c42e2 |
completed | June 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_6a0069e7a424819098d38458c3823605 |
completed | May 10, 2026, 11:20 a.m. |
| PDg | Predicate description generation | batch_6a006be382308190811a8ee29c262ba1 |
completed | May 10, 2026, 11:28 a.m. |
Created at: May 3, 2026, 4:09 p.m.