Triple
T17024392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumble in the Bronx |
E413025
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Morgan Lam
Morgan Lam is an actor best known for appearing in the action-comedy film "Rumble in the Bronx."
|
E1245673
|
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: Morgan Lam | Statement: [Rumble in the Bronx, starring, Morgan Lam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Lam Context triple: [Rumble in the Bronx, starring, Morgan Lam]
-
A.
Morgan Yu
Morgan Yu is the customizable protagonist of the sci-fi immersive sim game Prey (2017), a scientist aboard the Talos I space station who must survive and uncover the truth amid an alien outbreak.
-
B.
Morgan Jurgenson
Morgan Jurgenson is a creator known for developing the work or character associated with Dale Dobson.
-
C.
Morgan Jurgenson
Morgan Jurgenson is a screenwriter best known for co-writing the cult horror-comedy film "Tucker & Dale vs. Evil."
-
D.
Jadyn Wong
Jadyn Wong is a Canadian actress best known for her role as mechanical prodigy Happy Quinn on the television series "Scorpion."
-
E.
Morgan Henderson
Morgan Henderson is an American multi-instrumentalist and composer best known as a member of the indie folk band Fleet Foxes and for his work with various experimental and rock projects.
- 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: Morgan Lam Triple: [Rumble in the Bronx, starring, Morgan Lam]
Generated description
Morgan Lam is an actor best known for appearing in the action-comedy film "Rumble in the Bronx."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Lam Target entity description: Morgan Lam is an actor best known for appearing in the action-comedy film "Rumble in the Bronx."
-
A.
Morgan Yu
Morgan Yu is the customizable protagonist of the sci-fi immersive sim game Prey (2017), a scientist aboard the Talos I space station who must survive and uncover the truth amid an alien outbreak.
-
B.
Morgan Jurgenson
Morgan Jurgenson is a screenwriter best known for co-writing the cult horror-comedy film "Tucker & Dale vs. Evil."
-
C.
Morgan Jurgenson
Morgan Jurgenson is a creator known for developing the work or character associated with Dale Dobson.
-
D.
Jadyn Wong
Jadyn Wong is a Canadian actress best known for her role as mechanical prodigy Happy Quinn on the television series "Scorpion."
-
E.
Morgan Henderson
Morgan Henderson is an American multi-instrumentalist and composer best known as a member of the indie folk band Fleet Foxes and for his work with various experimental and rock projects.
- 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.