Triple
T17024454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Am I? (1998 film) |
E413026
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Iris Wong
Iris Wong is a screenwriter best known for her work on the 1998 film "Who Am I?".
|
E1245679
|
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: Iris Wong | Statement: [Who Am I? (1998 film), screenwriter, Iris Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iris Wong Context triple: [Who Am I? (1998 film), screenwriter, Iris Wong]
-
A.
Amy Wong
Amy Wong is a wealthy, klutzy intern and engineering student from Mars who serves as one of the core characters in the animated sci-fi comedy series Futurama.
-
B.
Vicki Wong
Vicki Wong is an author and illustrator best known for creating the popular children's book series that inspired the animated television show "The Octonauts."
-
C.
Michelle Wong
Michelle Wong is an actress known for her voice role in the animated feature film "Abominable."
-
D.
Julia Wong
Julia Wong is a film editor best known for her work on major Hollywood productions, including the superhero movie "X-Men: The Last Stand."
-
E.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
- 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: Iris Wong Triple: [Who Am I? (1998 film), screenwriter, Iris Wong]
Generated description
Iris Wong is a screenwriter best known for her work on the 1998 film "Who Am I?".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iris Wong Target entity description: Iris Wong is a screenwriter best known for her work on the 1998 film "Who Am I?".
-
A.
Amy Wong
Amy Wong is a wealthy, klutzy intern and engineering student from Mars who serves as one of the core characters in the animated sci-fi comedy series Futurama.
-
B.
Vicki Wong
Vicki Wong is an author and illustrator best known for creating the popular children's book series that inspired the animated television show "The Octonauts."
-
C.
Michelle Wong
Michelle Wong is an actress known for her voice role in the animated feature film "Abominable."
-
D.
Julia Wong
Julia Wong is a film editor best known for her work on major Hollywood productions, including the superhero movie "X-Men: The Last Stand."
-
E.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
- 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.