Triple
T21711451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Halliday |
E535915
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ruqaia Hasan |
—
|
NE NERFINISHED |
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: Ruqaia Hasan | Statement: [Michael Halliday, spouse, Ruqaia Hasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruqaia Hasan Context triple: [Michael Halliday, spouse, Ruqaia Hasan]
-
A.
Ruqaia Hasan
chosen
Ruqaia Hasan was a prominent linguist known for her work in systemic functional linguistics, discourse analysis, and the social semiotic study of language.
-
B.
Fathia Rizk
Fathia Rizk, later known as Fathia Nkrumah, was an Egyptian-born First Lady of Ghana and the wife of the country’s first president, Kwame Nkrumah.
-
C.
Sherine Khalil
Sherine Khalil is a person whose given name is associated with the entity Athena.
-
D.
Hanan al-Shaykh
Hanan al-Shaykh is a prominent Lebanese novelist and short story writer known for her bold explorations of gender, sexuality, and social norms in contemporary Arabic literature.
-
E.
Yasmine El Rashidi
Yasmine El Rashidi is an Egyptian writer and journalist known for her essays and reportage on contemporary Egyptian politics and society.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53450108190ba1c9e3cc3a0ab89 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.