Triple
T15356047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego.com |
E367170
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object |
Gift Finder
Gift Finder is an online tool on the LEGO website that helps users discover suitable LEGO sets based on preferences like age, interests, and price range.
|
E1151182
|
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: Gift Finder | Statement: [Lego.com, hasSection, Gift Finder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gift Finder Context triple: [Lego.com, hasSection, Gift Finder]
-
A.
Gifts
"Gifts" is an essay by Ralph Waldo Emerson that reflects on the nature, meaning, and moral implications of giving and receiving presents.
-
B.
Gifts
"Gifts" is a track featured on the album *All I Feel*.
-
C.
Cadeau
Cadeau is a famous 1921 Dada/Surrealist readymade sculpture by Man Ray consisting of a flat iron with a row of metal tacks affixed to its soleplate.
-
D.
Gift
Gift is a novel by Norwegian author Alexander Kielland, known for its critical portrayal of bourgeois society and arranged marriage in 19th-century Norway.
-
E.
Secret Santa
Secret Santa is a 2003 made-for-television romantic holiday film centered on a small-town Christmas mystery and heartfelt family revelations.
- 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: Gift Finder Triple: [Lego.com, hasSection, Gift Finder]
Generated description
Gift Finder is an online tool on the LEGO website that helps users discover suitable LEGO sets based on preferences like age, interests, and price range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gift Finder Target entity description: Gift Finder is an online tool on the LEGO website that helps users discover suitable LEGO sets based on preferences like age, interests, and price range.
-
A.
Gifts
"Gifts" is an essay by Ralph Waldo Emerson that reflects on the nature, meaning, and moral implications of giving and receiving presents.
-
B.
Gifts
"Gifts" is a track featured on the album *All I Feel*.
-
C.
Cadeau
Cadeau is a famous 1921 Dada/Surrealist readymade sculpture by Man Ray consisting of a flat iron with a row of metal tacks affixed to its soleplate.
-
D.
Gift
Gift is a novel by Norwegian author Alexander Kielland, known for its critical portrayal of bourgeois society and arranged marriage in 19th-century Norway.
-
E.
Secret Santa
Secret Santa is a 2003 made-for-television romantic holiday film centered on a small-town Christmas mystery and heartfelt family revelations.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff02012fa48190a108f1ca710ffb15 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02d0d0188190b6414a52bf8e6e54 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff037ddf1c8190b7c93c1b3edf33e8 |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:18 a.m.