Triple
T11058004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suha Tawil |
E261428
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Suha Tawil |
E261428
|
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: Suha Tawil | Statement: [Suha Tawil, name, Suha Tawil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suha Tawil Context triple: [Suha Tawil, name, Suha Tawil]
-
A.
Suha Tawil
chosen
Suha Tawil is a Palestinian public figure best known as the widow of longtime Palestine Liberation Organization leader Yasser Arafat.
-
B.
Sherine Khalil
Sherine Khalil is a person whose given name is associated with the entity Athena.
-
C.
Tahani Al-Jamil
Tahani Al-Jamil is a wealthy, status-obsessed British socialite known for her constant name-dropping and deep-seated insecurities in the comedy series "The Good Place."
-
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.
Karima Al-Amin
Karima Al-Amin is an American lawyer and civil rights advocate, known for her legal and community work and for being married to former Black Panther leader H. Rap Brown (Jamil Al-Amin).
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2efa48190b290f43dfe836501 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c86e0e6481908f091497313132c1 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.