Triple
T15063854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Steel |
E379704
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Megan Turner
Megan Turner is the tough, rookie NYPD officer portrayed by Jamie Lee Curtis in the 1990 crime thriller film "Blue Steel."
|
E1135065
|
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: Megan Turner | Statement: [Blue Steel, character, Megan Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Turner Context triple: [Blue Steel, character, Megan Turner]
-
A.
Cornelia Funke
Cornelia Funke is a German author best known for her fantasy novels for children and young adults, including the popular Inkheart trilogy.
-
B.
Alexandra Bracken
Alexandra Bracken is an American author best known for her young adult science fiction and fantasy novels, particularly the popular dystopian series that began with *The Darkest Minds*.
-
C.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
D.
Emily M. Danforth
Emily M. Danforth is an American novelist best known for her acclaimed coming-of-age LGBTQ+ novel "The Miseducation of Cameron Post."
-
E.
Naomi Novik
Naomi Novik is an American fantasy author best known for her Temeraire series and the award-winning novels Uprooted and Spinning Silver.
- 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: Megan Turner Triple: [Blue Steel, character, Megan Turner]
Generated description
Megan Turner is the tough, rookie NYPD officer portrayed by Jamie Lee Curtis in the 1990 crime thriller film "Blue Steel."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Turner Target entity description: Megan Turner is the tough, rookie NYPD officer portrayed by Jamie Lee Curtis in the 1990 crime thriller film "Blue Steel."
-
A.
Cornelia Funke
Cornelia Funke is a German author best known for her fantasy novels for children and young adults, including the popular Inkheart trilogy.
-
B.
Alexandra Bracken
Alexandra Bracken is an American author best known for her young adult science fiction and fantasy novels, particularly the popular dystopian series that began with *The Darkest Minds*.
-
C.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
D.
Emily M. Danforth
Emily M. Danforth is an American novelist best known for her acclaimed coming-of-age LGBTQ+ novel "The Miseducation of Cameron Post."
-
E.
Naomi Novik
Naomi Novik is an American fantasy author best known for her Temeraire series and the award-winning novels Uprooted and Spinning Silver.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c8b3ac8190b8fc921b6e6eeed5 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea74447d481908b290d6be0f0898e |
completed | May 9, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea81b77708190b0aafcb504dc72d1 |
completed | May 9, 2026, 3:20 a.m. |
Created at: April 10, 2026, 3:02 a.m.