Triple

T17350289
Position Surface form Disambiguated ID Type / Status
Subject Tony Randall E421789 entity
Predicate appearedIn P795 FINISHED
Object The Seven Faces of Dr. Lao NE ONDG

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: The Seven Faces of Dr. Lao | Statement: [Tony Randall, appearedIn, The Seven Faces of Dr. Lao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Seven Faces of Dr. Lao
Context triple: [Tony Randall, appearedIn, The Seven Faces of Dr. Lao]
  • A. Ponso no Tao
    Ponso no Tao is the indigenous Tao people's name for Orchid Island, a volcanic island off Taiwan’s southeastern coast known for its unique culture and biodiversity.
  • B. Crazy Face
    "Crazy Face" is a song featured on Van Morrison's 1970 album *His Band and the Street Choir*.
  • C. Lantern of the Good Lord
    Lantern of the Good Lord is a poetic nickname for Metz Cathedral, highlighting its soaring Gothic architecture and luminous stained-glass windows that flood the interior with light.
  • D. The Mad Monk
    The Mad Monk is a 1993 Hong Kong fantasy-comedy film starring Stephen Chow as a mischievous deity sent to Earth to reform his ways.
  • E. Son of the Demon
    Son of the Demon is a Batman graphic novel that centers on the Dark Knight’s uneasy alliance and romantic relationship with Talia al Ghul amid a high-stakes battle against a powerful terrorist threat.
  • 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: The Seven Faces of Dr. Lao
Triple: [Tony Randall, appearedIn, The Seven Faces of Dr. Lao]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Seven Faces of Dr. Lao
Target entity description: The Seven Faces of Dr. Lao is a 1964 fantasy-comedy film about a mysterious Chinese showman whose magical circus transforms a small Western town and its inhabitants.
  • A. Ponso no Tao
    Ponso no Tao is the indigenous Tao people's name for Orchid Island, a volcanic island off Taiwan’s southeastern coast known for its unique culture and biodiversity.
  • B. Crazy Face
    "Crazy Face" is a song featured on Van Morrison's 1970 album *His Band and the Street Choir*.
  • C. Lantern of the Good Lord
    Lantern of the Good Lord is a poetic nickname for Metz Cathedral, highlighting its soaring Gothic architecture and luminous stained-glass windows that flood the interior with light.
  • D. The Mad Monk
    The Mad Monk is a 1993 Hong Kong fantasy-comedy film starring Stephen Chow as a mischievous deity sent to Earth to reform his ways.
  • E. Son of the Demon
    Son of the Demon is a Batman graphic novel that centers on the Dark Knight’s uneasy alliance and romantic relationship with Talia al Ghul amid a high-stakes battle against a powerful terrorist threat.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a0195c365348190bc5ae9d39094e6f3 in_progress May 11, 2026, 8:39 a.m.
Created at: April 10, 2026, 5:44 a.m.