Triple
T8547305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldstone Report |
E202358
|
entity |
| Predicate | commissionMember |
P3401
|
FINISHED |
| Object | Hina Jilani |
E49415
|
NE FINISHED |
How this triple was built (2 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: Hina Jilani | Statement: [Goldstone Report, commissionMember, Hina Jilani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hina Jilani Context triple: [Goldstone Report, commissionMember, Hina Jilani]
-
A.
Hina Jilani
chosen
Hina Jilani is a prominent Pakistani lawyer and human rights activist known for her pioneering work in women's rights, civil liberties, and international justice.
-
B.
Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
-
C.
Moneeza Hashmi
Moneeza Hashmi is a Pakistani television producer and media professional known for her contributions to public broadcasting and cultural programming.
-
D.
Lateef Fatima Khan
Lateef Fatima Khan was the mother of Bollywood superstar Shah Rukh Khan and came from a respected Muslim family with a background in social service and activism.
-
E.
Saleha Rabbani
Saleha Rabbani is the widow of former Afghan President and mujahideen leader Burhanuddin Rabbani and a notable figure in Afghan political and social circles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe7511f8c819083d69fb6a0b55801 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc6239a48190b8b4370341ec62c5 |
completed | April 2, 2026, 8:06 p.m. |
Created at: March 30, 2026, 6:19 p.m.