Triple
T19270167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaak Shabazz |
E481900
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Malaak |
—
|
NE NERFINISHED |
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: Malaak | Statement: [Malaak Shabazz, givenName, Malaak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaak Context triple: [Malaak Shabazz, givenName, Malaak]
-
A.
Malaak
chosen
Malaak is an American human rights activist and lecturer, best known as one of the daughters of civil rights leader Malcolm X and Betty Shabazz.
-
B.
Malak
Malak is a residential suburb located within the urban area of Greater Darwin in Australia's Northern Territory.
-
C.
Malak
Malak is a roguish thief and comic-relief companion who joins Conan and Princess Jehnna on their quest in the fantasy film "Conan the Destroyer."
-
D.
Al Malaki
Al Malaki is a popular nickname for Al Ahli Saudi FC, one of Saudi Arabia’s most prominent and historically successful football clubs.
-
E.
Daniyyel
Daniyyel is a Hebrew given name, closely related to and historically derived from the biblical name Daniel, meaning "God is my judge."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb74ec48190a58d96b4b5b9af00 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.