Triple
T3898264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauryn Hill |
E90425
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Score |
E291904
|
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: The Score | Statement: [Lauryn Hill, notableWork, The Score]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Score Context triple: [Lauryn Hill, notableWork, The Score]
-
A.
The Score
The Score is a 2001 heist thriller film starring Robert De Niro, Edward Norton, and Marlon Brando, centered on an aging safecracker drawn into one last high-stakes robbery.
-
B.
The Score
chosen
The Score is the critically acclaimed 1996 hip hop album by the Fugees, known for its fusion of rap, reggae, and soul and hits like "Killing Me Softly."
-
C.
Seven Pounds
Seven Pounds is a 2008 drama film starring Will Smith as a man seeking redemption through a series of life-changing acts of generosity toward strangers.
-
D.
For Your Glory
"For Your Glory" is a popular contemporary gospel worship song by Tasha Cobbs known for its heartfelt lyrics of surrender and devotion to God.
-
E.
Southpaw
Southpaw is a 2015 American sports drama film about a troubled boxer fighting to rebuild his life and career after a personal tragedy.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecd48b208190afaa62975805d087 |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51ca0f72c819084726f631a947f8c |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:21 p.m.