Triple
T16450007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desertion |
E399526
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Hassanali |
E1131454
|
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: Hassanali | Statement: [Desertion, hasCharacter, Hassanali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hassanali Context triple: [Desertion, hasCharacter, Hassanali]
-
A.
Hassanali
chosen
Hassanali is a surname most notably associated with Noor Hassanali, the former President of Trinidad and Tobago.
-
B.
Hassan
Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
-
C.
Hassan
Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
-
D.
Hassan
Hassan is a hip-hop music producer known for contributing production work to Ghostface Killah’s acclaimed album "Supreme Clientele."
-
E.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdfb0ec8190b75c4e6f4aceb200 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045979c588190b6f7b249147f3174 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.