Triple

T32675230
Position Surface form Disambiguated ID Type / Status
Subject Almost in Your Arms E835412 entity
Predicate partOfSoundtrack P2152 FINISHED
Object Houseboat (soundtrack)
Houseboat (soundtrack) is the musical album featuring the score and songs from the 1958 romantic comedy film "Houseboat," starring Cary Grant and Sophia Loren.
E2015884 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: Houseboat (soundtrack) | Statement: [Almost in Your Arms, partOfSoundtrack, Houseboat (soundtrack)]
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: Houseboat (soundtrack)
Triple: [Almost in Your Arms, partOfSoundtrack, Houseboat (soundtrack)]
Generated description
Houseboat (soundtrack) is the musical album featuring the score and songs from the 1958 romantic comedy film "Houseboat," starring Cary Grant and Sophia Loren.

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_69f3493134b48190aa3c8cb523bd3800 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7e3ecb081908aba2b4f28b1e294 completed May 3, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492bd78588190854fb50191f532a0 completed June 19, 2026, 12:52 a.m.
NEDg Description generation batch_6a34932ee2888190a24da3e33f5e0cd7 completed June 19, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a3493a9edb4819085bdb356bfe69933 completed June 19, 2026, 12:56 a.m.
Created at: May 1, 2026, 1:09 a.m.