Triple
T7136149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Haywood |
E166310
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Love in Excess |
E644512
|
NE FINISHED |
How this triple was built (2 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 in Excess | Statement: [Eliza Haywood, wrote, Love in Excess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love in Excess Context triple: [Eliza Haywood, wrote, Love in Excess]
-
A.
Love in Excess
chosen
Love in Excess is an early 18th-century amatory novel by Eliza Haywood that explores intense passion, desire, and the complexities of romantic entanglements in Restoration-era high society.
-
B.
Love in Vain
"Love in Vain" is a classic blues song by Robert Johnson, renowned for its haunting lyrics and later popularized through a celebrated cover by The Rolling Stones.
-
C.
Mad Love
"Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
-
D.
Mad Love
"Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
-
E.
Love and Hisses
Love and Hisses is a 1937 American comedy film best known for featuring comedian Bert Lahr in an early screen role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad90bdd881908430ee9f7aa4f9ac |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:45 p.m.