Triple
T4852317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joab |
E108444
|
entity |
| Predicate | killed |
P4646
|
FINISHED |
| Object | Abner |
E108449
|
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: Abner | Statement: [Joab, killed, Abner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abner Context triple: [Joab, killed, Abner]
-
A.
Abner
chosen
Abner is a prominent Old Testament military commander and political figure in the Hebrew Bible, known especially for his role in the power struggles following King Saul’s death.
-
B.
Harmon Jones
Harmon Jones was an American film editor and director active in Hollywood during the mid-20th century, known for his work on several notable studio productions.
-
C.
Clubber Lang
Clubber Lang is the fierce, hard-hitting boxing antagonist portrayed by Mr. T in the film Rocky III.
-
D.
Abner Norman
Abner Norman was an early settler and surveyor whose name was given to the city of Norman, Oklahoma.
-
E.
Bunk Moreland
Bunk Moreland is a seasoned, sharp-witted homicide detective in the Baltimore Police Department on the television series "The Wire," known for his loyalty, pragmatism, and complex moral compass.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d39a4cc81908e27f587729225b0 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ce33db08190b44b5b0c21d2b850 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:26 p.m.