Triple

T18805794
Position Surface form Disambiguated ID Type / Status
Subject May Calamawy E459869 entity
Predicate givenName P17 FINISHED
Object May
May is a feminine given name commonly used in English-speaking countries, often associated with the month of May and sometimes used as a diminutive of names like Mary or Margaret.
 E1344400 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: May | Statement: [May Calamawy, givenName, May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: May
Context triple: [May Calamawy, givenName, May]
  • A. May
    May is a character associated with the Cosey Hotel and Resort, likely playing a significant role in its story or setting.
  • B. May
    May is a fictional character appearing in the universe of the novel "Love."
  • C. May
    May is the young, unfaithful wife in Geoffrey Chaucer’s "The Merchant’s Tale," whose adultery and manipulation highlight the poem’s darkly comic view of marriage.
  • D. May
    May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
  • E. Maio
    Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
  • 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: May
Triple: [May Calamawy, givenName, May]
Generated description
May is a feminine given name commonly used in English-speaking countries, often associated with the month of May and sometimes used as a diminutive of names like Mary or Margaret.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: May
Target entity description: May is a feminine given name commonly used in English-speaking countries, often associated with the month of May and sometimes used as a diminutive of names like Mary or Margaret.
  • A. May
    May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
  • B. May
    May is the young, unfaithful wife in Geoffrey Chaucer’s "The Merchant’s Tale," whose adultery and manipulation highlight the poem’s darkly comic view of marriage.
  • C. May
    May is a character associated with the Cosey Hotel and Resort, likely playing a significant role in its story or setting.
  • D. May
    May is a fictional character appearing in the universe of the novel "Love."
  • E. Maio
    Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d6d5e081909d8285e52cb753ba completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bbec00c8190962dddaf08bb1c5d completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055f9b560c81909fcc83ffb8fc7498 completed May 14, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_6a05605e78088190ae2fc8189007d6dc completed May 14, 2026, 5:40 a.m.
Created at: April 10, 2026, 11:53 a.m.