Triple
T1284842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah (2014 film) |
E27410
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Tubal-cain
Tubal-cain is the main human antagonist in the 2014 biblical epic film "Noah," portrayed as a ruthless king who opposes Noah and embodies violent, corrupt humanity.
|
E146337
|
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: Tubal-cain | Statement: [Noah (2014 film), character, Tubal-cain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tubal-cain Context triple: [Noah (2014 film), character, Tubal-cain]
-
A.
Nimrod
Nimrod is a 1997 studio album by American punk rock band Green Day, best known for its blend of punk energy with more experimental and melodic tracks.
-
B.
Cain
Cain is a biblical figure known as the firstborn son of Adam and Eve and for committing the first murder by killing his brother Abel.
-
C.
Enoch
Enoch is a biblical and Qur’anic prophet revered for his exceptional piety and, in many traditions, for being taken up by God without experiencing death.
-
D.
Avram
Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
-
E.
Abram
Abram is the middle name of James A. Garfield, the 20th president of the United States.
- 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: Tubal-cain Triple: [Noah (2014 film), character, Tubal-cain]
Generated description
Tubal-cain is the main human antagonist in the 2014 biblical epic film "Noah," portrayed as a ruthless king who opposes Noah and embodies violent, corrupt humanity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tubal-cain Target entity description: Tubal-cain is the main human antagonist in the 2014 biblical epic film "Noah," portrayed as a ruthless king who opposes Noah and embodies violent, corrupt humanity.
-
A.
Nimrod
Nimrod is a 1997 studio album by American punk rock band Green Day, best known for its blend of punk energy with more experimental and melodic tracks.
-
B.
Cain
Cain is a biblical figure known as the firstborn son of Adam and Eve and for committing the first murder by killing his brother Abel.
-
C.
Enoch
Enoch is a biblical and Qur’anic prophet revered for his exceptional piety and, in many traditions, for being taken up by God without experiencing death.
-
D.
Avram
Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
-
E.
Abram
Abram is the middle name of James A. Garfield, the 20th president of the United States.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b6dda48190a2e79084adea6ec1 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca3004b648190a4148b0421699bf9 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3a539848190a17e8bd578bc237a |
completed | March 7, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca4158bbc8190bd1f5799715e3e4c |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:50 p.m.