Triple
T18253162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dar Salim |
E437151
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dar Salim |
—
|
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: Dar Salim | Statement: [Dar Salim, name, Dar Salim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dar Salim Context triple: [Dar Salim, name, Dar Salim]
-
A.
Dar Salim
chosen
Dar Salim is a Danish actor known for his roles in international film and television, including a leading part in the 2023 war thriller "The Covenant."
-
B.
Chachran Sharif
Chachran Sharif is a historic town in Punjab, Pakistan, renowned as a Sufi center associated with the revered poet-saint Khawaja Ghulam Farid.
-
C.
Salim
Salim is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
D.
Salim
Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
-
E.
Achmed Abdullah
Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd82f81c81909ad4455954bd8caa |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.