Triple
T7651996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laleh Pourkarim |
E173274
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Laleh |
E681485
|
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: Laleh | Statement: [Laleh Pourkarim, givenName, Laleh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laleh Context triple: [Laleh Pourkarim, givenName, Laleh]
-
A.
Laleh
chosen
Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
-
B.
Malakeh Madar
Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
-
C.
Roshanak
Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
-
D.
Zahra Kazemi
Zahra Kazemi was an Iranian-Canadian photojournalist whose death in Iranian custody in 2003 drew international condemnation and became a symbol of press repression and human rights abuses in Iran.
-
E.
Leila Hatami
Leila Hatami is an acclaimed Iranian actress best known internationally for her award-winning role in the Oscar-winning film "A Separation."
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701770ac881909452348c9547ab47 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac925a6c8190aa7a4fe4f580d14f |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:58 p.m.