Triple
T9854818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weeds |
E239556
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Guillermo Díaz |
E463186
|
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: Guillermo Díaz | Statement: [Weeds, starring, Guillermo Díaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guillermo Díaz Context triple: [Weeds, starring, Guillermo Díaz]
-
A.
Guillermo Díaz
chosen
Guillermo Díaz is an American actor best known for his comedic and character roles in film and television, including his breakout performance in the stoner comedy "Half Baked."
-
B.
Julio Díaz
Julio Díaz is a Mexican former professional boxer and two-time IBF lightweight world champion known for his technical skill and resilience in the ring.
-
C.
Gerardo González
Gerardo González, better known by his ring name Kid Gavilán, was a renowned Cuban professional boxer and world welterweight champion famed for his flashy style and "bolo punch."
-
D.
Guillermo Pulido
Guillermo Pulido is a notable individual whose surname, Pulido, is recognized as being borne by him.
-
E.
Miguel Ordóñez
Miguel Ordóñez is an illustrator known for his playful, minimalist artwork in children’s books and other visual storytelling projects.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215ac56248190a75ad5ceb8152d5a |
completed | April 17, 2026, 11:12 a.m. |
Created at: March 30, 2026, 8:34 p.m.