Triple
T9781372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrowverse |
E237380
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Jefferson Pierce
Jefferson Pierce is a high school principal and retired superhero with electrical powers who fights crime as Black Lightning in the Arrowverse.
|
E820686
|
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: Jefferson Pierce | Statement: [Arrowverse, hasMainCharacter, Jefferson Pierce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jefferson Pierce Context triple: [Arrowverse, hasMainCharacter, Jefferson Pierce]
-
A.
Jeremiah Danvers
Jeremiah Danvers is a character in the Arrowverse TV series "Supergirl," known as Kara Danvers' adoptive father and a former DEO scientist.
-
B.
Danny Ketch
Danny Ketch is a Marvel Comics character best known as a modern incarnation of Ghost Rider, a supernatural antihero bonded to the Spirit of Vengeance.
-
C.
Hardy Justice
Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
-
D.
Red Thomas
Red Thomas is a fictional mayor of the town of Hill Valley in the "Back to the Future" film series.
-
E.
Slade Wilson
Slade Wilson is a master tactician and enhanced mercenary assassin in DC Comics, best known as the supervillain Deathstroke and a formidable adversary of the Teen Titans.
- 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: Jefferson Pierce Triple: [Arrowverse, hasMainCharacter, Jefferson Pierce]
Generated description
Jefferson Pierce is a high school principal and retired superhero with electrical powers who fights crime as Black Lightning in the Arrowverse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jefferson Pierce Target entity description: Jefferson Pierce is a high school principal and retired superhero with electrical powers who fights crime as Black Lightning in the Arrowverse.
-
A.
Jeremiah Danvers
Jeremiah Danvers is a character in the Arrowverse TV series "Supergirl," known as Kara Danvers' adoptive father and a former DEO scientist.
-
B.
Danny Ketch
Danny Ketch is a Marvel Comics character best known as a modern incarnation of Ghost Rider, a supernatural antihero bonded to the Spirit of Vengeance.
-
C.
Hardy Justice
Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
-
D.
Red Thomas
Red Thomas is a fictional mayor of the town of Hill Valley in the "Back to the Future" film series.
-
E.
Slade Wilson
Slade Wilson is a master tactician and enhanced mercenary assassin in DC Comics, best known as the supervillain Deathstroke and a formidable adversary of the Teen Titans.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b23cb88190b458ab18d5f7f493 |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd2e5f4c81908a3c132df6440947 |
completed | April 5, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_69d1bf4a414c81909ee12092315e714a |
completed | April 5, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c00dac1c81908c6c5dca384eddcc |
completed | April 5, 2026, 1:51 a.m. |
Created at: March 30, 2026, 8:27 p.m.