Triple
T12880590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Lane |
E308081
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Trader Lane |
E308081
|
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: Trader Lane | Statement: [Frank Lane, hasNickname, Trader Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trader Lane Context triple: [Frank Lane, hasNickname, Trader Lane]
-
A.
Trader Lane
chosen
Trader Lane was the nickname of Frank Lane, a Major League Baseball executive renowned for his frequent and often bold player trades.
-
B.
Trader Sam
Trader Sam is a whimsical jungle trader character from Disney's Jungle Cruise attraction, known for his humorous bartering and appearances in themed Disney restaurants and lounges.
-
C.
Fair Store
Fair Store was a pioneering Chicago department store building designed by architect William Le Baron Jenney, often associated with the early development of skyscraper architecture.
-
D.
Trader Vic
Trader Vic was a pioneering American restaurateur and tiki bar innovator, best known for popularizing Polynesian-style cocktails and cuisine worldwide.
-
E.
Paul the Peddler
Paul the Peddler is a 19th-century rags-to-riches boys’ novel by Horatio Alger Jr. that follows a poor New York City newsboy striving for success through honesty and hard work.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fc1e488190a0c48039f6213e62 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:39 p.m.