Triple
T21890529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Halaby |
E540529
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Halaby |
—
|
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: Halaby | Statement: [Lisa Halaby, familyName, Halaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halaby Context triple: [Lisa Halaby, familyName, Halaby]
-
A.
Halaby
chosen
Halaby is the maiden surname of Queen Noor of Jordan, reflecting her Syrian-American family heritage.
-
B.
Hilberath
Hilberath is a small village that forms one of the districts of the town of Rheinbach in North Rhine-Westphalia, Germany.
-
C.
Harlosh
Harlosh is a small coastal settlement on the Isle of Skye in Scotland, known for its scenic views over surrounding sea lochs and nearby islands.
-
D.
Hennenman
Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
-
E.
Hauerz
Hauerz is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc2124c8190a79cf115a1d30283 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.