Triple

T14105938
Position Surface form Disambiguated ID Type / Status
Subject TF1 Séries Films E339504 entity
Predicate formerName P65 FINISHED
Object HD1
HD1 was a French television channel that later became known as TF1 Séries Films, focusing on series and film programming.
 E1081000 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: HD1 | Statement: [TF1 Séries Films, formerName, HD1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HD1
Context triple: [TF1 Séries Films, formerName, HD1]
  • A. HDX
    HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
  • B. HdM
    HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
  • C. HDA
    HDA is the ICAO airline designator assigned to Cathay Dragon, the former Hong Kong-based regional carrier of the Cathay Pacific Group.
  • D. HDS
    HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
  • E. Hdn
    Hdn is the station code for Handen station, a commuter rail stop in the Stockholm County region of Sweden.
  • 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: HD1
Triple: [TF1 Séries Films, formerName, HD1]
Generated description
HD1 was a French television channel that later became known as TF1 Séries Films, focusing on series and film programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HD1
Target entity description: HD1 was a French television channel that later became known as TF1 Séries Films, focusing on series and film programming.
  • A. HDX
    HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
  • B. HdM
    HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
  • C. HDA
    HDA is the ICAO airline designator assigned to Cathay Dragon, the former Hong Kong-based regional carrier of the Cathay Pacific Group.
  • D. HDS
    HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
  • E. Hdn
    Hdn is the station code for Handen station, a commuter rail stop in the Stockholm County region of Sweden.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd288bd5881908f6a442201c5beea completed May 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:22 p.m.