Triple
T12107160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haya Harareet |
E288331
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Haya Harareet |
E288331
|
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: Haya Harareet | Statement: [Haya Harareet, name, Haya Harareet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haya Harareet Context triple: [Haya Harareet, name, Haya Harareet]
-
A.
Haya Harareet
chosen
Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
-
B.
Hanan Hashim
Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
-
C.
Sanaa Hamri
Sanaa Hamri is a Moroccan-American film and television director known for her work on romantic comedies and music videos, including projects with major pop and R&B artists.
-
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.
Hadya Sher Ali
Hadya Sher Ali is a Pakistani woman known primarily for her brief marriage to British-Pakistani heart surgeon Hasnat Khan.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915632dc48190863e0239cef37e24 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6795bf88190891acf918a432bef |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:49 p.m.