Triple
T10004596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romee Strijd |
E198209
|
entity |
| Predicate | hasWorkedFor |
P11675
|
FINISHED |
| Object |
Thakoon
Thakoon is a New York-based fashion label founded by designer Thakoon Panichgul, known for its modern, feminine ready-to-wear collections and innovative prints.
|
E835879
|
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: Thakoon | Statement: [Romee Strijd, hasWorkedFor, Thakoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thakoon Context triple: [Romee Strijd, hasWorkedFor, Thakoon]
-
A.
Thommanon
Thommanon is a small 12th-century Hindu temple in the Angkor region of Cambodia, noted for its well-preserved sandstone carvings and classical Khmer architecture.
-
B.
Takua Thung
Takua Thung is a coastal district in southern Thailand known for its beaches, mangrove forests, and proximity to Phang Nga Bay.
-
C.
Tharmada
Tharmada is a town in central Saudi Arabia where the Central Najdi dialect of Arabic is commonly spoken.
-
D.
Tasiwit
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
-
E.
Thap Put
Thap Put is a district in southern Thailand known for its rural landscapes and location within Phang Nga Province.
- 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: Thakoon Triple: [Romee Strijd, hasWorkedFor, Thakoon]
Generated description
Thakoon is a New York-based fashion label founded by designer Thakoon Panichgul, known for its modern, feminine ready-to-wear collections and innovative prints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thakoon Target entity description: Thakoon is a New York-based fashion label founded by designer Thakoon Panichgul, known for its modern, feminine ready-to-wear collections and innovative prints.
-
A.
Thommanon
Thommanon is a small 12th-century Hindu temple in the Angkor region of Cambodia, noted for its well-preserved sandstone carvings and classical Khmer architecture.
-
B.
Takua Thung
Takua Thung is a coastal district in southern Thailand known for its beaches, mangrove forests, and proximity to Phang Nga Bay.
-
C.
Tharmada
Tharmada is a town in central Saudi Arabia where the Central Najdi dialect of Arabic is commonly spoken.
-
D.
Tasiwit
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
-
E.
Thap Put
Thap Put is a district in southern Thailand known for its rural landscapes and location within Phang Nga Province.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd141ec08190b857fe7e15a8df93 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a5058a08190b850d30ca0ee8bc8 |
completed | April 5, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69d26b6d52e8819082fed0bfdaf48e4c |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c3d5f2081909bf1a1565b66eca9 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:51 p.m.