Triple
T19090487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battlestar Galactica: Blood & Chrome |
E467267
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Michael Taylor
Michael Taylor is a television writer and producer best known for his work on science fiction series, including contributions to the Battlestar Galactica franchise.
|
E1357874
|
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 Taylor | Statement: [Battlestar Galactica: Blood & Chrome, writer, Michael Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Taylor Context triple: [Battlestar Galactica: Blood & Chrome, writer, Michael Taylor]
-
A.
Michael Taylor
Michael Taylor is a film editor known for his work on movies such as the coming-of-age drama "Very Good Girls."
-
B.
Michael Taylor
Michael Taylor is a film producer known for his work on the thriller "Never Talk to Strangers."
-
C.
Michael Taylor
Michael Taylor is one of the two unconventional father figures raising a teenage girl in the American sitcom "My Two Dads."
-
D.
Mike Taylor
Mike Taylor is a film editor known for his work on the acclaimed British gangster film "The Long Good Friday."
-
E.
Mike Taylor
Mike Taylor is a songwriter best known for co-writing the classic John Denver hit "Sunshine on My Shoulders."
- 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 Taylor Triple: [Battlestar Galactica: Blood & Chrome, writer, Michael Taylor]
Generated description
Michael Taylor is a television writer and producer best known for his work on science fiction series, including contributions to the Battlestar Galactica franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Taylor Target entity description: Michael Taylor is a television writer and producer best known for his work on science fiction series, including contributions to the Battlestar Galactica franchise.
-
A.
Michael Taylor
Michael Taylor is a film editor known for his work on movies such as the coming-of-age drama "Very Good Girls."
-
B.
Michael Taylor
Michael Taylor is a film producer known for his work on the thriller "Never Talk to Strangers."
-
C.
Michael Taylor
Michael Taylor is one of the two unconventional father figures raising a teenage girl in the American sitcom "My Two Dads."
-
D.
Mike Taylor
Mike Taylor is a film editor known for his work on the acclaimed British gangster film "The Long Good Friday."
-
E.
Mike Taylor
Mike Taylor is a songwriter best known for co-writing the classic John Denver hit "Sunshine on My Shoulders."
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34a589c8190b5171fab45bf2204 |
completed | April 20, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd9273cc81909dc0252b5959b050 |
completed | May 14, 2026, 2:34 p.m. |
| NEDg | Description generation | batch_6a05dfddc64c81909e630fd628f7b8e6 |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e09c58308190975c69c86482292a |
completed | May 14, 2026, 2:47 p.m. |
Created at: April 10, 2026, 12:04 p.m.