Triple
T16035298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icíar Bollaín |
E388954
|
entity |
| Predicate | screenwriterOf |
P2831
|
FINISHED |
| Object | Maixabel |
E1190601
|
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: Maixabel | Statement: [Icíar Bollaín, screenwriterOf, Maixabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maixabel Context triple: [Icíar Bollaín, screenwriterOf, Maixabel]
-
A.
Maixabel
chosen
Maixabel is a Spanish drama film that portrays the true story of Maixabel Lasa, a woman who confronts the ETA terrorists who murdered her husband, exploring themes of grief, forgiveness, and reconciliation.
-
B.
Miguel
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
-
C.
Miguel
Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
-
D.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
E.
Maite
Maite is a village district within the municipality of Mongmong-Toto-Maite on the island of Guam.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833b84608190887dafda5d081dc0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb893f988190a0693564bbe78ca1 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.