Triple
T17024465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Am I? (1998 film) |
E413026
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ngo si sui
Ngo si sui is the Cantonese title of the 1998 Hong Kong action-comedy film "Who Am I?" starring Jackie Chan.
|
E1245681
|
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: Ngo si sui | Statement: [Who Am I? (1998 film), alsoKnownAs, Ngo si sui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngo si sui Context triple: [Who Am I? (1998 film), alsoKnownAs, Ngo si sui]
-
A.
Ngo
Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
-
B.
Niúachi
Niúachi is an alternative name for the Missouria, a Native American tribe historically located in the central United States along the Missouri River.
-
C.
Nong
Nong is an ethnic group belonging to the Northern Tai branch, traditionally inhabiting parts of southern China and mainland Southeast Asia.
-
D.
Noi
"Noi" is a novel by Italian politician and writer Walter Veltroni that explores contemporary Italian society through an intimate, character-driven narrative.
-
E.
Nisi
Nisi is a given name associated with the individual known as Shawl Nisi.
- 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: Ngo si sui Triple: [Who Am I? (1998 film), alsoKnownAs, Ngo si sui]
Generated description
Ngo si sui is the Cantonese title of the 1998 Hong Kong action-comedy film "Who Am I?" starring Jackie Chan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngo si sui Target entity description: Ngo si sui is the Cantonese title of the 1998 Hong Kong action-comedy film "Who Am I?" starring Jackie Chan.
-
A.
Ngo
Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
-
B.
Niúachi
Niúachi is an alternative name for the Missouria, a Native American tribe historically located in the central United States along the Missouri River.
-
C.
Nong
Nong is an ethnic group belonging to the Northern Tai branch, traditionally inhabiting parts of southern China and mainland Southeast Asia.
-
D.
Noi
"Noi" is a novel by Italian politician and writer Walter Veltroni that explores contemporary Italian society through an intimate, character-driven narrative.
-
E.
Nisi
Nisi is a given name associated with the individual known as Shawl Nisi.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b514de481909c78c17a3014b468 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c021e1c819098e04b1cbaf33ecd |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011c8afb608190b51c7a4c9ccaa0a5 |
completed | May 11, 2026, 12:02 a.m. |
Created at: April 10, 2026, 5:33 a.m.