Triple
T822021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven S. DeKnight |
E17769
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Angel
Angel is an American supernatural drama television series set in the Buffy the Vampire Slayer universe, following a vampire with a soul seeking redemption in Los Angeles.
|
E99624
|
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: Angel | Statement: [Steven S. DeKnight, notableWork, Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Context triple: [Steven S. DeKnight, notableWork, Angel]
-
A.
angel
An angel is a supernatural being or messenger of God found in various religious traditions, often depicted as a powerful, benevolent spirit that interacts with humans.
-
B.
Gabriel
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
C.
Archangel
Archangel is a historic Russian port city on the White Sea that served as a major northern gateway for European trade before the rise of St. Petersburg.
-
D.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
E.
Angela
Angela is a recurring character on the animated sitcom "Family Guy," known as Peter Griffin’s tough, no-nonsense supervisor at the Pawtucket Brewery.
- 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: Angel Triple: [Steven S. DeKnight, notableWork, Angel]
Generated description
Angel is an American supernatural drama television series set in the Buffy the Vampire Slayer universe, following a vampire with a soul seeking redemption in Los Angeles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angel Target entity description: Angel is an American supernatural drama television series set in the Buffy the Vampire Slayer universe, following a vampire with a soul seeking redemption in Los Angeles.
-
A.
angel
An angel is a supernatural being or messenger of God found in various religious traditions, often depicted as a powerful, benevolent spirit that interacts with humans.
-
B.
Gabriel
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
C.
Archangel
Archangel is a historic Russian port city on the White Sea that served as a major northern gateway for European trade before the rise of St. Petersburg.
-
D.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
E.
Angela
Angela is a recurring character on the animated sitcom "Family Guy," known as Peter Griffin’s tough, no-nonsense supervisor at the Pawtucket Brewery.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab7c139c8190b6d75661b5138d89 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a79291d51c81908163024842300a6e |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a795676ce881909d93a50841dcc054 |
completed | March 4, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a795cd74a88190b858e29eb86527a9 |
completed | March 4, 2026, 2:15 a.m. |
Created at: March 1, 2026, 7:38 p.m.