Triple
T21033379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman: Bad Blood |
E518122
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Onyx
Onyx is a DC Comics assassin-turned-vigilante who appears as a supporting character in various Batman-related stories.
|
E1463809
|
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: Onyx | Statement: [Batman: Bad Blood, featuresCharacter, Onyx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onyx Context triple: [Batman: Bad Blood, featuresCharacter, Onyx]
-
A.
Onyx
Onyx is a hardcore hip hop group from Queens, New York, known for its aggressive style and influential 1990s releases.
-
B.
Onyx
Onyx is a small unincorporated community in Kern County, California, located in the southern Sierra Nevada near Lake Isabella.
-
C.
Lapis Niger
Lapis Niger is an ancient black stone shrine and inscribed pavement in Rome’s Forum Romanum, traditionally associated with early Roman religious or funerary practices and sometimes linked to the legendary king Romulus.
-
D.
Sapphire
Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
-
E.
Sapphire
Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
- 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: Onyx Triple: [Batman: Bad Blood, featuresCharacter, Onyx]
Generated description
Onyx is a DC Comics assassin-turned-vigilante who appears as a supporting character in various Batman-related stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onyx Target entity description: Onyx is a DC Comics assassin-turned-vigilante who appears as a supporting character in various Batman-related stories.
-
A.
Onyx
Onyx is a hardcore hip hop group from Queens, New York, known for its aggressive style and influential 1990s releases.
-
B.
Onyx
Onyx is a small unincorporated community in Kern County, California, located in the southern Sierra Nevada near Lake Isabella.
-
C.
Lapis Niger
Lapis Niger is an ancient black stone shrine and inscribed pavement in Rome’s Forum Romanum, traditionally associated with early Roman religious or funerary practices and sometimes linked to the legendary king Romulus.
-
D.
Sapphire
Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
-
E.
Sapphire
Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc83828c81909c1ec745c0313c9f |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09474a1518819090301f907150f98c |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a0948e724748190a2dd91be5a9888ff |
completed | May 17, 2026, 4:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0949e567808190aa71f542a850a516 |
completed | May 17, 2026, 4:53 a.m. |
Created at: April 16, 2026, 1:59 p.m.