Triple

T11173375
Position Surface form Disambiguated ID Type / Status
Subject Mia Tyler E264339 entity
Predicate modeledFor P2006 FINISHED
Object MXM
MXM is a fashion brand or modeling agency associated with American model and actress Mia Tyler.
 E909034 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: MXM | Statement: [Mia Tyler, modeledFor, MXM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MXM
Context triple: [Mia Tyler, modeledFor, MXM]
  • A. MXMID
    MXMID is the UN/LOCODE identifier for the city and port of Mérida in Mexico, used in international trade and transport logistics.
  • B. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • C. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • D. FXM
    FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
  • E. McX
    McX is a fictional philosopher introduced by W.V.O. Quine in his essay "On What There Is" to illustrate and critique certain metaphysical views about existence and ontological commitment.
  • 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: MXM
Triple: [Mia Tyler, modeledFor, MXM]
Generated description
MXM is a fashion brand or modeling agency associated with American model and actress Mia Tyler.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MXM
Target entity description: MXM is a fashion brand or modeling agency associated with American model and actress Mia Tyler.
  • A. MXMID
    MXMID is the UN/LOCODE identifier for the city and port of Mérida in Mexico, used in international trade and transport logistics.
  • B. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • C. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • D. FXM
    FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
  • E. McX
    McX is a fictional philosopher introduced by W.V.O. Quine in his essay "On What There Is" to illustrate and critique certain metaphysical views about existence and ontological commitment.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463c03a948190b0f40f657180c9bf completed April 19, 2026, 5:10 a.m.
NEDg Description generation batch_69e46c37efec81908aa709587c37569d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e47292cdd08190b05c4c8b09f4f918 completed April 19, 2026, 6:13 a.m.
Created at: April 8, 2026, 9:29 p.m.