Triple
T17218628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The All-Story |
E417915
|
entity |
| Predicate | mergedInto |
P77
|
FINISHED |
| Object | Argosy |
E45663
|
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: Argosy | Statement: [The All-Story, mergedInto, Argosy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argosy Context triple: [The All-Story, mergedInto, Argosy]
-
A.
Argosy
chosen
Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
-
B.
Whydah
Whydah was a prominent West African coastal port city that became a major center for the Atlantic slave trade during the era of the Kingdom of Dahomey.
-
C.
The Fortune
The Fortune is a 1975 American comedy film directed by Mike Nichols and best known for starring Jack Nicholson and Warren Beatty as inept con men in a 1920s screwball caper.
-
D.
Carmania
Carmania was an ancient satrapy in southeastern Iran, known from Achaemenid and later empires for its strategic location and involvement in regional trade routes.
-
E.
Tantor
Tantor is the timid yet loyal elephant character from Disney's Tarzan franchise.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.