Triple
T4017550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otis |
E91199
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | H•A•M |
E86816
|
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: H•A•M | Statement: [Otis, precededBy, H•A•M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H•A•M Context triple: [Otis, precededBy, H•A•M]
-
A.
H•A•M
chosen
H•A•M is a hard-hitting, Lex Luger–produced hip-hop track by Jay-Z and Kanye West that showcases their aggressive, boastful lyricism and opulent Watch the Throne-era sound.
-
B.
Aha
Aha is an early Egyptian pharaoh, often identified with the legendary Menes, who is traditionally credited with unifying Upper and Lower Egypt and founding the First Dynasty.
-
C.
Ham
Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
-
D.
Ham
Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
-
E.
Ham
Ham is a small town in the Somme department of northern France, known historically for its medieval fortress and strategic location.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa85ac881909e46fb3d76a794af |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c792d948190aed89f2a52d65688 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.