Triple
T12461009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Came By |
E297791
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Namsi Khan
Namsi Khan is a screenwriter known for her work on the British thriller film "I Came By."
|
E984537
|
NE FINISHED |
How this triple was built (4 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: Namsi Khan | Statement: [I Came By, writer, Namsi Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namsi Khan Context triple: [I Came By, writer, Namsi Khan]
-
A.
Milini Khan
Milini Khan is an American singer and the daughter of renowned R&B and funk vocalist Chaka Khan.
-
B.
Moin Khan
Moin Khan is a former Pakistani wicketkeeper-batsman and World Cup–winning cricketer who later became a prominent coach and selector for Pakistan cricket.
-
C.
Haqq-Nazar Khan
Haqq-Nazar Khan was a prominent 16th-century ruler who significantly strengthened and expanded the Kazakh Khanate, consolidating its political power on the Central Asian steppe.
-
D.
Omar Khan
Omar Khan was a prominent 19th-century ruler of the Kokand Khanate in Central Asia, known for his patronage of culture and literature.
-
E.
Khudayar Khan
Khudayar Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his turbulent reign marked by internal strife and increasing Russian influence in the region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Namsi Khan Triple: [I Came By, writer, Namsi Khan]
Generated description
Namsi Khan is a screenwriter known for her work on the British thriller film "I Came By."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namsi Khan Target entity description: Namsi Khan is a screenwriter known for her work on the British thriller film "I Came By."
-
A.
Milini Khan
Milini Khan is an American singer and the daughter of renowned R&B and funk vocalist Chaka Khan.
-
B.
Moin Khan
Moin Khan is a former Pakistani wicketkeeper-batsman and World Cup–winning cricketer who later became a prominent coach and selector for Pakistan cricket.
-
C.
Haqq-Nazar Khan
Haqq-Nazar Khan was a prominent 16th-century ruler who significantly strengthened and expanded the Kazakh Khanate, consolidating its political power on the Central Asian steppe.
-
D.
Omar Khan
Omar Khan was a prominent 19th-century ruler of the Kokand Khanate in Central Asia, known for his patronage of culture and literature.
-
E.
Khudayar Khan
Khudayar Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his turbulent reign marked by internal strife and increasing Russian influence in the region.
- F. None of above. chosen
Provenance (5 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db465c48190bcfaf22f25ef8947 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1d4f248190a0805e17da42eaf7 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f64010a1348190afaf7b95b8f146b5 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f640c33d948190ad8f9885f90786d7 |
completed | May 2, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:56 p.m.