Triple
T3408175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penélope Cruz |
E71824
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Loving Pablo |
E246905
|
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: Loving Pablo | Statement: [Penélope Cruz, notableWork, Loving Pablo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loving Pablo Context triple: [Penélope Cruz, notableWork, Loving Pablo]
-
A.
Loving Pablo
chosen
Loving Pablo is a biographical crime drama film in which Javier Bardem portrays notorious Colombian drug lord Pablo Escobar.
-
B.
Mad Love
"Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
-
C.
Parque del Amor
Parque del Amor is a romantic, oceanfront park in Lima’s Miraflores district, famous for its coastal views, mosaic-covered walls, and iconic sculpture of an embracing couple.
-
D.
Amores
Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
-
E.
Te Lo Dije
Te Lo Dije is a music release by American singer-songwriter Miguel, following his album War & Leisure.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdaf06c8190a8102a4e3c728066 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.