Triple
T16450052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afterlives |
E399527
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Hamza |
E176451
|
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: Hamza | Statement: [Afterlives, mainCharacter, Hamza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamza Context triple: [Afterlives, mainCharacter, Hamza]
-
A.
Hamza
chosen
Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
-
B.
Hamzaa
Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
-
C.
Hamoud
Hamoud is a given name and surname of Arabic origin, commonly used across the Middle East and North Africa.
-
D.
Azzam
Azzam is a masculine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
E.
Ahmed
Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
- 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_6a005815efc48190868305f428cb9085 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.