Triple
T21084517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Front (second formation) |
E519451
|
entity |
| Predicate | hasLeader |
P981
|
FINISHED |
| Object | Allahyar Saleh |
—
|
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: Allahyar Saleh | Statement: [National Front (second formation), hasLeader, Allahyar Saleh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allahyar Saleh Context triple: [National Front (second formation), hasLeader, Allahyar Saleh]
-
A.
Allahyar Saleh
chosen
Allahyar Saleh was an Iranian politician and diplomat known for his leadership in the National Front of Iran and his opposition to authoritarian rule.
-
B.
Assalah
Assalah is a residential and beachside neighborhood in the Egyptian resort town of Dahab on the Sinai Peninsula.
-
C.
Bismillāh ir-Raḥmān ir-Raḥīm
Bismillāh ir-Raḥmān ir-Raḥīm is the Islamic phrase meaning “In the name of Allah, the Most Gracious, the Most Merciful,” traditionally recited at the beginning of chapters of the Qur’an and many Muslim prayers and actions.
-
D.
Subhaan Rahmaan
Subhaan Rahmaan is a writer best known for authoring the work titled "Stay."
-
E.
Bismillah
Bismillah is the given name of Bismillah Khan Mohammadi, an Afghan politician and former defense minister.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e709498fc081908d92a93e8678c140 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:49 p.m.