Triple
T5728545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noor al-Hussein |
E126325
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Halaby |
E118774
|
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: Halaby | Statement: [Noor al-Hussein, familyName, Halaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halaby Context triple: [Noor al-Hussein, familyName, Halaby]
-
A.
Halaby
chosen
Halaby is the maiden surname of Queen Noor of Jordan, reflecting her Syrian-American family heritage.
-
B.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
C.
Alkemade
Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
-
D.
Allfrey
Allfrey is an English surname borne by various notable individuals, including military figures and writers.
-
E.
Logumer Vorwerk
Logumer Vorwerk is a district of the seaport city of Emden in Lower Saxony, Germany.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250d5f4c8190a36b43ef5e6c7837 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8a1d08819080f071eb22db54d3 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.