Triple
T15698376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South of Pago Pago |
E380524
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Samuel Kaylin |
E852684
|
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: Samuel Kaylin | Statement: [South of Pago Pago, musicBy, Samuel Kaylin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Kaylin Context triple: [South of Pago Pago, musicBy, Samuel Kaylin]
-
A.
Samuel Kaylin
chosen
Samuel Kaylin was an American film composer best known for scoring numerous Hollywood movies in the 1930s and 1940s.
-
B.
Benjamin Keen
Benjamin Keen was a prominent American historian and Latin Americanist known for his influential scholarship on the history and culture of Latin America.
-
C.
Sebastian Dungan
Sebastian Dungan is a film producer best known for his work on acclaimed independent features such as "Transamerica."
-
D.
Samuel Westbrook
Samuel Westbrook was an early local figure of sufficient prominence in the region’s history that the city of Westbrook, Maine, was named in his honor.
-
E.
Matthew Kane
Matthew Kane is the main playable Marine character in the sci-fi first-person shooter video game Quake 4, leading the fight against the alien Strogg.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6c3328819081325b702ca92862 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7571f1888190b83af75ec9c7432b |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.