Triple
T21707089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaloub |
E535797
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Chalhub |
—
|
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: Chalhub | Statement: [Chaloub, hasAlternativeSpelling, Chalhub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chalhub Context triple: [Chaloub, hasAlternativeSpelling, Chalhub]
-
A.
Chalhub
chosen
Chalhub is a surname, likely of Arabic origin, that serves as an alternative transliteration of "Chalhoub."
-
B.
Laarks
Laarks is an American indie rock band known for its layered, experimental sound and connections to other Midwest alternative music projects.
-
C.
Ralpachen
Ralpachen was a 9th-century Tibetan emperor renowned for promoting Buddhism, sponsoring extensive translation of Buddhist texts, and strengthening the Tibetan Empire’s cultural and religious foundations.
-
D.
Gursken
Gursken is a small coastal village in Sande municipality in Møre og Romsdal county, Norway.
-
E.
Calibos
Calibos is the cursed, monstrous antagonist in the 1981 fantasy film "Clash of the Titans," known for opposing the hero Perseus.
- 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_69efb530779c819080204c3bd2f6afa2 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.