Triple

T4579163
Position Surface form Disambiguated ID Type / Status
Subject Laura Poitras E101811 entity
Predicate familyName P18 FINISHED
Object Poitras
Poitras is the surname of Laura Poitras, the American documentary filmmaker known for her work on post-9/11 politics, surveillance, and whistleblowers.
 E453959 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: Poitras | Statement: [Laura Poitras, familyName, Poitras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poitras
Context triple: [Laura Poitras, familyName, Poitras]
  • A. Rabaut
    Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
  • B. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • C. Luriottis
    Luriottis was a notable Philhellene known for supporting the Greek cause during the Greek War of Independence.
  • D. Aspremont
    Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
  • E. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • 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: Poitras
Triple: [Laura Poitras, familyName, Poitras]
Generated description
Poitras is the surname of Laura Poitras, the American documentary filmmaker known for her work on post-9/11 politics, surveillance, and whistleblowers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poitras
Target entity description: Poitras is the surname of Laura Poitras, the American documentary filmmaker known for her work on post-9/11 politics, surveillance, and whistleblowers.
  • A. Rabaut
    Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
  • B. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • C. Luriottis
    Luriottis was a notable Philhellene known for supporting the Greek cause during the Greek War of Independence.
  • D. Aspremont
    Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
  • E. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e3e028819083c4662deb9f3c03 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3f532dc81909b6c464defada832 completed March 20, 2026, 11:10 p.m.
NEDg Description generation batch_69bdd70276748190b519fd23d195bf56 completed March 20, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69bdd759be90819088098a8b2353aa27 completed March 20, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:10 p.m.