Triple
T15104022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Isabel Verdú Rollán |
E360741
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lovers |
E357345
|
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: Lovers | Statement: [María Isabel Verdú Rollán, notableWork, Lovers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovers Context triple: [María Isabel Verdú Rollán, notableWork, Lovers]
-
A.
Lovers
chosen
Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
-
B.
Lovers
Lovers is an ancient Greek work, traditionally attributed to Plato, that explores themes of love and philosophical education through a dramatic dialogue.
-
C.
Lovers
Lovers is an earlier studio album by R&B singer Babyface, showcasing his smooth vocal style and romantic songwriting.
-
D.
What Lovers Do
"What Lovers Do" is a pop-infused, radio-friendly song by Maroon 5 featuring SZA, known for its catchy melody and upbeat, danceable production.
-
E.
Two Lovers
Two Lovers is a 2008 romantic drama film directed by James Gray that follows a troubled man torn between a stable relationship and a passionate but complicated affair.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae274f6881908931569efc09996e |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:05 a.m.