Triple
T1753796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Matheson |
E38505
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Bid Time Return |
E197016
|
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: Bid Time Return | Statement: [Richard Matheson, wrote, Bid Time Return]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bid Time Return Context triple: [Richard Matheson, wrote, Bid Time Return]
-
A.
Bid Time Return
chosen
Bid Time Return is a 1975 time-travel romance novel by Richard Matheson that inspired the film "Somewhere in Time."
-
B.
Tesla Autobidder
Tesla Autobidder is Tesla’s real-time trading and control software platform that autonomously optimizes the dispatch and market participation of energy storage assets like Megapacks.
-
C.
Tempozan Marketplace
Tempozan Marketplace is a shopping and entertainment complex in Osaka, Japan, known for its waterfront location near major attractions like the Tempozan Giant Ferris Wheel and Osaka Aquarium Kaiyukan.
-
D.
Bidin' My Time
"Bidin' My Time" is a leisurely, reflective song by George and Ira Gershwin that became a popular standard from their musical *Girl Crazy*.
-
E.
eBay
eBay is a global e-commerce company best known for its online auction and consumer-to-consumer sales platform.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64169c508190a33074fb06e9c755 |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada98c303081908346dc66ad3575a5 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.