Triple
T14158833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefen Djordjevic |
E350882
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object |
Michael Kane
Michael Kane is a creator known for developing the character Stefen Djordjevic.
|
E1087018
|
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: Michael Kane | Statement: [Stefen Djordjevic, createdBy, Michael Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kane Context triple: [Stefen Djordjevic, createdBy, Michael Kane]
-
A.
Michael Kane
Michael Kane is a screenwriter best known for writing the 1983 American sports drama film "All the Right Moves."
-
B.
Michael Jace
Michael Jace is an American actor best known for his role as LAPD Officer Julien Lowe on the television series "The Shield."
-
C.
Vic Morrow
Vic Morrow was an American actor best known for his role in the television series "Combat!" and for his tragic death in a helicopter accident during the filming of "Twilight Zone: The Movie."
-
D.
Seymour Cassel
Seymour Cassel was an American character actor known for his longtime collaboration with director John Cassavetes and his roles in numerous independent and mainstream films.
-
E.
Robert Parrish
Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
- 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: Michael Kane Triple: [Stefen Djordjevic, createdBy, Michael Kane]
Generated description
Michael Kane is a creator known for developing the character Stefen Djordjevic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Kane Target entity description: Michael Kane is a creator known for developing the character Stefen Djordjevic.
-
A.
Michael Kane
Michael Kane is a screenwriter best known for writing the 1983 American sports drama film "All the Right Moves."
-
B.
Michael Jace
Michael Jace is an American actor best known for his role as LAPD Officer Julien Lowe on the television series "The Shield."
-
C.
Vic Morrow
Vic Morrow was an American actor best known for his role in the television series "Combat!" and for his tragic death in a helicopter accident during the filming of "Twilight Zone: The Movie."
-
D.
Seymour Cassel
Seymour Cassel was an American character actor known for his longtime collaboration with director John Cassavetes and his roles in numerous independent and mainstream films.
-
E.
Robert Parrish
Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2804956c81909409fba998a87866 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2a8d7b0c81908c80de21f7922f0a |
completed | May 8, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b0c9b188190a7f096429aa92419 |
completed | May 8, 2026, 12:15 a.m. |
Created at: April 10, 2026, 12:58 a.m.