Triple
T3698987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tideland |
E78527
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Pablo González
Pablo González is an editor known for his work on the film "Tideland."
|
E380978
|
NE FINISHED |
How this triple was built (4 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: Pablo González | Statement: [Tideland, editedBy, Pablo González]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pablo González Context triple: [Tideland, editedBy, Pablo González]
-
A.
Sergio Navarro
Sergio Navarro is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Navarro.
-
B.
Guillermo Navarro
Guillermo Navarro is an acclaimed Mexican cinematographer known for his visually striking work on films such as "Pan’s Labyrinth," "Pacific Rim," and collaborations with directors like Guillermo del Toro.
-
C.
Pablo Gonzales
Pablo Gonzales is a minor supporting character in Tennessee Williams' play "A Streetcar Named Desire," appearing as one of Stanley Kowalski’s poker-playing friends.
-
D.
Santiago Cabrera
Santiago Cabrera is a Chilean actor best known for his roles in television series such as "Heroes," "Merlin," and "Star Trek: Picard."
-
E.
Hugo Martinez
Hugo Martinez is a supporting character in the action film "Rambo: Last Blood," involved in the violent conflict that draws John Rambo into a rescue mission.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pablo González Triple: [Tideland, editedBy, Pablo González]
Generated description
Pablo González is an editor known for his work on the film "Tideland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pablo González Target entity description: Pablo González is an editor known for his work on the film "Tideland."
-
A.
Sergio Navarro
Sergio Navarro is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Navarro.
-
B.
Guillermo Navarro
Guillermo Navarro is an acclaimed Mexican cinematographer known for his visually striking work on films such as "Pan’s Labyrinth," "Pacific Rim," and collaborations with directors like Guillermo del Toro.
-
C.
Pablo Gonzales
Pablo Gonzales is a minor supporting character in Tennessee Williams' play "A Streetcar Named Desire," appearing as one of Stanley Kowalski’s poker-playing friends.
-
D.
Santiago Cabrera
Santiago Cabrera is a Chilean actor best known for his roles in television series such as "Heroes," "Merlin," and "Star Trek: Picard."
-
E.
Hugo Martinez
Hugo Martinez is a supporting character in the action film "Rambo: Last Blood," involved in the violent conflict that draws John Rambo into a rescue mission.
- F. None of above. chosen
Provenance (5 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc513d26c8190bfdf25f62af8c6ca |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3df86bc819088db92eecee69fd3 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c7e579d4819090edfa8a858c40c4 |
completed | March 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c86511e48190872b3d85019bc013 |
completed | March 14, 2026, 2:31 a.m. |
Created at: March 8, 2026, 3:26 p.m.