Triple
T13865912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man with the Iron Fists 2 |
E333325
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ocean Hou
Ocean Hou is an actor known for appearing in the martial arts action film "The Man with the Iron Fists 2."
|
E1069115
|
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: Ocean Hou | Statement: [The Man with the Iron Fists 2, starring, Ocean Hou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean Hou Context triple: [The Man with the Iron Fists 2, starring, Ocean Hou]
-
A.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
B.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
-
C.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
D.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
-
E.
The Seas
The Seas is an ocean-themed pavilion and aquarium attraction at EPCOT in Walt Disney World, featuring marine life exhibits and the Finding Nemo franchise.
- 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: Ocean Hou Triple: [The Man with the Iron Fists 2, starring, Ocean Hou]
Generated description
Ocean Hou is an actor known for appearing in the martial arts action film "The Man with the Iron Fists 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ocean Hou Target entity description: Ocean Hou is an actor known for appearing in the martial arts action film "The Man with the Iron Fists 2."
-
A.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
B.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
-
C.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
D.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
-
E.
The Seas
The Seas is an ocean-themed pavilion and aquarium attraction at EPCOT in Walt Disney World, featuring marine life exhibits and the Finding Nemo franchise.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70c41f081908b6af3f419d8468d |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7caf92b3c8190923f0b22e8ed7c2c |
completed | May 3, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cb846f788190a62a6dd181fa64ee |
completed | May 3, 2026, 10:26 p.m. |
Created at: April 9, 2026, 10:14 p.m.