Triple
T34799318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get the Gringo |
E1003174
|
entity |
| Predicate | alternativeTitle |
P39
|
FINISHED |
| Object |
How I Spent My Summer Vacation
How I Spent My Summer Vacation is the original title of the 2012 action crime film starring Mel Gibson as an American criminal navigating life inside a brutal Mexican prison.
|
E2113588
|
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: How I Spent My Summer Vacation | Statement: [Get the Gringo, alternativeTitle, How I Spent My Summer Vacation]
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: How I Spent My Summer Vacation Triple: [Get the Gringo, alternativeTitle, How I Spent My Summer Vacation]
Generated description
How I Spent My Summer Vacation is the original title of the 2012 action crime film starring Mel Gibson as an American criminal navigating life inside a brutal Mexican prison.
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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a886ac48190a82b0a71a2092028 |
completed | May 3, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a376fa9e7dc8190943192fe85c15ab5 |
completed | June 21, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_6a3770687b8c8190b271515f54eed3b8 |
completed | June 21, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37719691ac8190bc3ad20af00b1cf2 |
completed | June 21, 2026, 5:07 a.m. |
Created at: May 3, 2026, 3:59 p.m.