Triple
T21022477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spencer Love |
E517846
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Love
Love is a common English surname borne by various notable individuals across fields such as business, sports, and the arts.
|
E451531
|
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 | Statement: [Spencer Love, familyName, Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Context triple: [Spencer Love, familyName, Love]
-
A.
Love
Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
-
B.
Love
Love is a 2009 cover album by R&B group Boyz II Men featuring their renditions of classic love songs.
-
C.
Love
Love is a complex and multifaceted human emotion characterized by deep affection, attachment, and care for others.
-
D.
Love
Love is a dark, psychologically intense novel by Angela Carter that explores obsession, desire, and self-destruction within a claustrophobic love triangle.
-
E.
Love
"Love" is a song by English alternative rock band The Sundays, known for its jangly guitars and ethereal vocals characteristic of their early-1990s sound.
- 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 Triple: [Spencer Love, familyName, Love]
Generated description
Love is a common English surname borne by various notable individuals across fields such as business, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Target entity description: Love is a common English surname borne by various notable individuals across fields such as business, sports, and the arts.
-
A.
Love
chosen
Love is a common English surname borne by various notable individuals across fields such as science, sports, and the arts.
-
B.
Love
Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
-
C.
Love
Love is a given name, notably borne by Swedish writer and romantic poet Carl Jonas Love Almqvist.
-
D.
Love
Love is a complex and multifaceted human emotion characterized by deep affection, attachment, and care for others.
-
E.
Love
Love is a Netflix romantic comedy-drama series that explores the complexities of modern relationships through the perspectives of two flawed protagonists.
- F. None of above.
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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5e85d08190a67956a3dbe693de |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b68fd48819098ba4ba22a4f1cbd |
completed | May 17, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a093d26c38881908f8e5e0200411330 |
completed | May 17, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093da7c214819099218effbfba8ac7 |
completed | May 17, 2026, 4:01 a.m. |
Created at: April 16, 2026, 1:54 p.m.