Triple
T13545898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holiday 88 |
E323508
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Holiday 88 |
E323508
|
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: Holiday 88 | Statement: [Holiday 88, marketedAs, Holiday 88]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holiday 88 Context triple: [Holiday 88, marketedAs, Holiday 88]
-
A.
Holiday 88
chosen
Holiday 88 is a trim and model variant of the Oldsmobile 88 full-size automobile produced by General Motors.
-
B.
The Holiday Calendar
The Holiday Calendar is a romantic Christmas-themed film about a magical advent calendar that seems to predict the future and leads its owner toward unexpected love.
-
C.
The Perfect Holiday
The Perfect Holiday is a 2007 romantic comedy film about a young girl who enlists a department store Santa to help find a new man for her divorced mother.
-
D.
Holiday in the Park
Holiday in the Park is Six Flags’ seasonal winter celebration featuring festive lights, holiday-themed entertainment, and special rides and attractions.
-
E.
Holiday in the Wild
Holiday in the Wild is a romantic comedy film set in Africa that follows a recently single woman who finds new purpose while volunteering at an elephant sanctuary.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafdb466881908fb46642dc66849d |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da2c2008190b43a653a349ea0c7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.