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.