Triple
T19809294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adeeb Joudeh |
E475899
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Adeeb Joudeh Al-Husseini |
—
|
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: Adeeb Joudeh Al-Husseini | Statement: [Adeeb Joudeh, knownAs, Adeeb Joudeh Al-Husseini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adeeb Joudeh Al-Husseini Context triple: [Adeeb Joudeh, knownAs, Adeeb Joudeh Al-Husseini]
-
A.
Adeeb Joudeh
chosen
Adeeb Joudeh is a prominent member of Jerusalem’s Christian community, known as the custodian of the key to the Church of the Holy Sepulchre.
-
B.
Hussein Amer
Hussein Amer is an individual notable enough to be recognized as a prominent bearer of the surname Amer.
-
C.
Salim Abu Aziz
Salim Abu Aziz is the main terrorist villain in the 1994 action film "True Lies," serving as the primary adversary to Arnold Schwarzenegger’s character, Harry Tasker.
-
D.
Nawaf Salam
Nawaf Salam is a Lebanese diplomat, jurist, and former UN ambassador who serves as President of the International Court of Justice.
-
E.
Mohammad Salameh
Mohammad Salameh is a Palestinian terrorist best known as one of the main conspirators in the 1993 World Trade Center bombing in New York City.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542ac1b48190a0cb69dbceca74da |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.