Triple
T7275934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Indiana |
E163026
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
AHAVA
AHAVA is a famous Hebrew-language sculpture by American artist Robert Indiana that adapts his iconic LOVE design into the word for “love” in Hebrew.
|
E653263
|
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: AHAVA | Statement: [Robert Indiana, notableWork, AHAVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AHAVA Context triple: [Robert Indiana, notableWork, AHAVA]
-
A.
MUNA
MUNA is a national museum in El Salvador dedicated to preserving and showcasing the country’s anthropological and cultural heritage.
-
B.
Biotherm
Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
-
C.
DHC
DHC is the commonly used abbreviation for the Delhi High Court, one of the principal high courts in India with jurisdiction over the National Capital Territory of Delhi.
-
D.
Nexxus
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
-
E.
Huda Beauty
Huda Beauty is a globally popular cosmetics brand founded by makeup artist and influencer Huda Kattan, known for its trend-setting makeup products and strong social media presence.
- 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: AHAVA Triple: [Robert Indiana, notableWork, AHAVA]
Generated description
AHAVA is a famous Hebrew-language sculpture by American artist Robert Indiana that adapts his iconic LOVE design into the word for “love” in Hebrew.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AHAVA Target entity description: AHAVA is a famous Hebrew-language sculpture by American artist Robert Indiana that adapts his iconic LOVE design into the word for “love” in Hebrew.
-
A.
MUNA
MUNA is a national museum in El Salvador dedicated to preserving and showcasing the country’s anthropological and cultural heritage.
-
B.
Biotherm
Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
-
C.
DHC
DHC is the commonly used abbreviation for the Delhi High Court, one of the principal high courts in India with jurisdiction over the National Capital Territory of Delhi.
-
D.
Nexxus
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
-
E.
Huda Beauty
Huda Beauty is a globally popular cosmetics brand founded by makeup artist and influencer Huda Kattan, known for its trend-setting makeup products and strong social media presence.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb2f239c819097c1ac4d6de8b0e5 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db2c76fc81909632c7ee4e54f81c |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dc1469e08190a0b2b924884885e6 |
completed | March 28, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dca05ad081908e2036ba6c909c09 |
completed | March 28, 2026, 1:50 p.m. |
Created at: March 27, 2026, 2:59 p.m.