Triple
T13786747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlequin Enterprises |
E331277
|
entity |
| Predicate | imprint |
P2763
|
FINISHED |
| Object |
Love Inspired
Love Inspired is a line of inspirational romance novels published by Harlequin that focuses on faith-based, wholesome love stories.
|
E1062382
|
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: Love Inspired | Statement: [Harlequin Enterprises, imprint, Love Inspired]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Inspired Context triple: [Harlequin Enterprises, imprint, Love Inspired]
-
A.
Love Obsession
Love Obsession is a track from Bobby Brown’s 1986 R&B album "King of Stage."
-
B.
Romance
"Romance" is a landmark 1991 bolero album by Mexican singer Luis Miguel that revitalized the genre and became one of his most acclaimed and commercially successful works.
-
C.
Romance
Romance is Camila Cabello’s sophomore studio album, a pop record centered on themes of love and relationships, featuring hits like “Señorita” and “My Oh My.”
-
D.
Romance
Romance is a lyrical, expressive musical form or movement, typically characterized by a singing melodic line and a tender, sentimental mood.
-
E.
Good Love
"Good Love" is a soulful hip-hop track by rapper Sheek Louch that blends smooth, sample-driven production with lyrics celebrating affection and appreciation for women.
- 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: Love Inspired Triple: [Harlequin Enterprises, imprint, Love Inspired]
Generated description
Love Inspired is a line of inspirational romance novels published by Harlequin that focuses on faith-based, wholesome love stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Inspired Target entity description: Love Inspired is a line of inspirational romance novels published by Harlequin that focuses on faith-based, wholesome love stories.
-
A.
Love Obsession
Love Obsession is a track from Bobby Brown’s 1986 R&B album "King of Stage."
-
B.
Romance
Romance is Camila Cabello’s sophomore studio album, a pop record centered on themes of love and relationships, featuring hits like “Señorita” and “My Oh My.”
-
C.
Romance
"Romance" is a landmark 1991 bolero album by Mexican singer Luis Miguel that revitalized the genre and became one of his most acclaimed and commercially successful works.
-
D.
Romance
Romance is a lyrical, expressive musical form or movement, typically characterized by a singing melodic line and a tender, sentimental mood.
-
E.
Good Love
"Good Love" is a soulful hip-hop track by rapper Sheek Louch that blends smooth, sample-driven production with lyrics celebrating affection and appreciation for women.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07d872c81908f912263d8f7c80d |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b230fb448190bc16a1d8732ff76f |
completed | May 3, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2c55e188190b0ea8fa400ff2dfc |
completed | May 3, 2026, 8:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.