Triple

T16944561
Position Surface form Disambiguated ID Type / Status
Subject Helen Slater E411034 entity
Predicate playedCharacter P1507 FINISHED
Object Lara-El
Lara-El is Superman's Kryptonian mother in the DC Comics universe, often depicted as a brilliant scientist and moral compass on the doomed planet Krypton.
 E1242094 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: Lara-El | Statement: [Helen Slater, playedCharacter, Lara-El]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lara-El
Context triple: [Helen Slater, playedCharacter, Lara-El]
  • A. Lara Breay
    Lara Breay is a film producer best known for her work on the animated superhero comedy "Megamind."
  • B. Soraya
    Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
  • C. Soraya
    Soraya is a feminine given name of Persian origin meaning "Pleiades" or "rich," used in various cultures around the world.
  • D. Soraya
    Soraya is the wife of Rashid Khalifa, a member of the Bahraini royal family.
  • E. Lara Marlowe
    Lara Marlowe is an American-born journalist and longtime foreign correspondent, best known for her reporting from the Middle East and Europe for outlets such as The Irish Times.
  • 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: Lara-El
Triple: [Helen Slater, playedCharacter, Lara-El]
Generated description
Lara-El is Superman's Kryptonian mother in the DC Comics universe, often depicted as a brilliant scientist and moral compass on the doomed planet Krypton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lara-El
Target entity description: Lara-El is Superman's Kryptonian mother in the DC Comics universe, often depicted as a brilliant scientist and moral compass on the doomed planet Krypton.
  • A. Lara Breay
    Lara Breay is a film producer best known for her work on the animated superhero comedy "Megamind."
  • B. Soraya
    Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
  • C. Soraya
    Soraya is a feminine given name of Persian origin meaning "Pleiades" or "rich," used in various cultures around the world.
  • D. Soraya
    Soraya is the wife of Rashid Khalifa, a member of the Bahraini royal family.
  • E. Lara Marlowe
    Lara Marlowe is an American-born journalist and longtime foreign correspondent, best known for her reporting from the Middle East and Europe for outlets such as The Irish Times.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb08da88190b07c32652bbc1534 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfeca4208190a3b9270869063d3d completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0b13f1c819091f3f8b966e36214 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d1ad6b7081908be76d70ad9e2075 completed May 10, 2026, 6:42 p.m.
Created at: April 10, 2026, 5:31 a.m.