Triple
T13933121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Keynote Speaker |
E335040
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | "Golden Arms" |
E335037
|
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: "Golden Arms" | Statement: [The Keynote Speaker, hasPart, "Golden Arms"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Golden Arms" Context triple: [The Keynote Speaker, hasPart, "Golden Arms"]
-
A.
Golden Arms
chosen
Golden Arms is a nickname for U-God, a rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
B.
The Golden Arm
The Golden Arm is the famous nickname of Hall of Fame NFL quarterback Johnny Unitas, renowned for his exceptional passing ability and leadership.
-
C.
The Diamond Arm
The Diamond Arm is a classic 1969 Soviet comedy film directed by Leonid Gaidai, renowned for its slapstick humor, memorable catchphrases, and Yuri Nikulin’s iconic performance.
-
D.
“Shower of Gold”
“Shower of Gold” is a mythological tale, often associated with the story of Zeus visiting Danaë in a golden rain, that appears as one of the stories collected in *The Golden Apples*.
-
E.
Tower of Gold
Tower of Gold is a historic 13th-century watchtower in Seville, Spain, that once formed part of the city’s defensive walls along the Guadalquivir River.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.