Triple
T13393184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Horizon |
E319626
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Barnard |
E148130
|
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: Barnard | Statement: [Lost Horizon, mainCharacter, Barnard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnard Context triple: [Lost Horizon, mainCharacter, Barnard]
-
A.
Barnard
chosen
Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
-
B.
HO Librae
HO Librae is a red dwarf star in the constellation Libra that hosts the well-known exoplanetary system Gliese 581.
-
C.
Sharpless
Sharpless is the surname of K. Barry Sharpless, an American chemist renowned for his Nobel Prize–winning work in asymmetric synthesis and click chemistry.
-
D.
Sharpless
Sharpless is the American consul in Nagasaki who serves as a sympathetic but ultimately powerless observer of the tragic events in Puccini’s opera *Madama Butterfly*.
-
E.
Merak
Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306fb8348190a325a07a1ac858fd |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.