Triple

T11447731
Position Surface form Disambiguated ID Type / Status
Subject Golshifteh Farahani E271307 entity
Predicate notableWork P4 FINISHED
Object M for Mother
M for Mother is an Iranian drama film that follows a pregnant musician coping with the emotional and physical aftermath of chemical warfare during the Iran–Iraq War.
E926475 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: M for Mother | Statement: [Golshifteh Farahani, notableWork, M for Mother]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M for Mother
Context triple: [Golshifteh Farahani, notableWork, M for Mother]
  • A. "Mother"
    "Mother" is a 1906 novel by Maxim Gorky that portrays the awakening of political consciousness in a working-class woman amid the Russian revolutionary movement.
  • B. Mam
    Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
  • C. MAMA
    MAMA (Murray Art Museum Albury) is a contemporary art museum and cultural venue located in Albury, New South Wales, Australia.
  • D. MAMA
    MAMA is the commonly used acronym for the MTV Africa Music Awards, an annual event celebrating contemporary African music and artists.
  • E. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • 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: M for Mother
Triple: [Golshifteh Farahani, notableWork, M for Mother]
Generated description
M for Mother is an Iranian drama film that follows a pregnant musician coping with the emotional and physical aftermath of chemical warfare during the Iran–Iraq War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M for Mother
Target entity description: M for Mother is an Iranian drama film that follows a pregnant musician coping with the emotional and physical aftermath of chemical warfare during the Iran–Iraq War.
  • A. "Mother"
    "Mother" is a 1906 novel by Maxim Gorky that portrays the awakening of political consciousness in a working-class woman amid the Russian revolutionary movement.
  • B. Mam
    Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
  • C. MAMA
    MAMA (Murray Art Museum Albury) is a contemporary art museum and cultural venue located in Albury, New South Wales, Australia.
  • D. MAMA
    MAMA is the commonly used acronym for the MTV Africa Music Awards, an annual event celebrating contemporary African music and artists.
  • E. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3bdafb08190aadf5d63facfedaf completed April 20, 2026, 7:20 a.m.
NEDg Description generation batch_69e5d7e46e248190aba139dc32185e2f completed April 20, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_69e5e192297c8190992578f734e63427 completed April 20, 2026, 8:19 a.m.
Created at: April 8, 2026, 9:35 p.m.