Triple
T1089358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Hashim bin Hussein |
E24125
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hashim
Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
|
E126098
|
NE FINISHED |
How this triple was built (4 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: Hashim | Statement: [Prince Hashim bin Hussein, givenName, Hashim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hashim Context triple: [Prince Hashim bin Hussein, givenName, Hashim]
-
A.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
B.
Karim
Karim is a surname most prominently associated with Jawed Karim, the computer scientist and entrepreneur who co-founded YouTube.
-
C.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
-
D.
Abdul Salaam
Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
-
E.
Hashim Shah
Hashim Shah was a prominent Punjabi poet and writer known for his significant contributions to classical Punjabi literature.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Hashim Triple: [Prince Hashim bin Hussein, givenName, Hashim]
Generated description
Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hashim Target entity description: Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
-
A.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
B.
Karim
Karim is a surname most prominently associated with Jawed Karim, the computer scientist and entrepreneur who co-founded YouTube.
-
C.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
-
D.
Abdul Salaam
Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
-
E.
Hashim Shah
Hashim Shah was a prominent Punjabi poet and writer known for his significant contributions to classical Punjabi literature.
- F. None of above. chosen
Provenance (5 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b97f216881909e9b8943ce2078e4 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2a20b48190b3a550f6e5ee13e1 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4cae760881909329701561ad2ba6 |
completed | March 7, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d7176808190b74d535d7e1b7c6a |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.