Triple

T1394280
Position Surface form Disambiguated ID Type / Status
Subject Philomé Obin E30629 entity
Predicate givenName P17 FINISHED
Object Philomé
Philomé is the given name of Philomé Obin, a prominent Haitian painter known for his detailed depictions of historical and everyday life scenes.
 E159501 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: Philomé | Statement: [Philomé Obin, givenName, Philomé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philomé
Context triple: [Philomé Obin, givenName, Philomé]
  • A. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • B. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • C. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • D. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • E. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • 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: Philomé
Triple: [Philomé Obin, givenName, Philomé]
Generated description
Philomé is the given name of Philomé Obin, a prominent Haitian painter known for his detailed depictions of historical and everyday life scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Philomé
Target entity description: Philomé is the given name of Philomé Obin, a prominent Haitian painter known for his detailed depictions of historical and everyday life scenes.
  • A. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • B. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • C. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • D. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • E. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c37e60388190a8efcb345be7a1b9 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde2c62ac819090179b775ea544c9 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acde870bac8190bd1c2636fca1dc74 completed March 8, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69acdef0bd0c81908e1eeb6851a2368d completed March 8, 2026, 2:29 a.m.
Created at: March 1, 2026, 7:59 p.m.