Triple
T7433542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hastings Ismay |
E171549
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ismay |
E171549
|
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: Ismay | Statement: [Hastings Ismay, familyName, Ismay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ismay Context triple: [Hastings Ismay, familyName, Ismay]
-
A.
Ismay
chosen
Ismay is an English surname most notably associated with figures such as Hastings Ismay, a British general and close advisor to Winston Churchill.
-
B.
Halimahton Haji Hassan
Halimahton Haji Hassan was the mother of Malaysia’s third Prime Minister, Hussein Onn, and a member of a prominent Malaysian political family.
-
C.
Husniya
Husniya is a character in Naguib Mahfouz’s novel "Zuqāq al-Midaqq" ("Midaq Alley"), representing the lives and struggles of residents in a crowded Cairo alley during the 1940s.
-
D.
Nabeil
Nabeil is a variant transliteration of the Arabic given name "Nabil," commonly used in Arabic-speaking and Muslim communities.
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f327480481909c4691fd3333e2ae |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f1d8af48190af856b5e2438781d |
completed | March 28, 2026, 6:34 p.m. |
Created at: March 27, 2026, 3:12 p.m.