Triple
T21010992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tupac: Resurrection |
E517546
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lauren Lazin |
—
|
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: Lauren Lazin | Statement: [Tupac: Resurrection, producer, Lauren Lazin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Lazin Context triple: [Tupac: Resurrection, producer, Lauren Lazin]
-
A.
Lauren Lazin
chosen
Lauren Lazin is an American documentary filmmaker best known for directing the Academy Award–nominated film "Tupac: Resurrection."
-
B.
Lauren Zalaznick
Lauren Zalaznick is an American media executive and film producer known for her influential work in independent cinema and television, including producing the acclaimed film "Safe" (1995).
-
C.
Lauren Gros
Lauren Gros is an actress known for appearing in the horror-comedy film "The Final Girls."
-
D.
Lauren Dalby
Lauren Dalby is a fictional astronaut and key crew member featured in the science fiction horror film "The Last Days on Mars."
-
E.
Lauren Strucker
Lauren Strucker is a powerful mutant teenager with telekinetic abilities in the X-Men universe, prominently featured in the television series "The Gifted."
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.