Triple
T15776164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jowel |
E382495
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Joel |
E81687
|
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: Joel | Statement: [Jowel, derivedFrom, Joel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Context triple: [Jowel, derivedFrom, Joel]
-
A.
Joel
chosen
Joel is a masculine given name of Hebrew origin meaning "Yahweh is God," commonly used in many English-speaking and other countries.
-
B.
Joel
Joel is a prophetic book in the Old Testament that focuses on themes of divine judgment, repentance, and the coming "day of the Lord."
-
C.
Joel Cairo
Joel Cairo is a sly, effeminate, and duplicitous criminal figure in Dashiell Hammett’s novel "The Maltese Falcon," known for his involvement in the hunt for the jewel-encrusted statuette.
-
D.
Joel Reynolds
Joel Reynolds is a fictional protagonist whose story centers on his personal experiences and development within the narrative from which he is drawn.
-
E.
Joel McAndrew
Joel McAndrew is a New York–based hedge fund manager best known as the husband of English model and actress Agyness Deyn.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59779788190a393237f5293fe8d |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:47 a.m.