Triple
T10226007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taj Monroe Tallarico |
E243205
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Taj
Taj is an American actor and musician best known as the son of Aerosmith frontman Steven Tyler.
|
E852834
|
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: Taj | Statement: [Taj Monroe Tallarico, givenName, Taj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taj Context triple: [Taj Monroe Tallarico, givenName, Taj]
-
A.
Taj
Taj was the former name of Esteghlal F.C., one of Iran’s most successful and popular football clubs.
-
B.
Kamar-Taj
Kamar-Taj is a hidden mystical sanctuary and training ground for sorcerers in the Marvel universe, where masters of the mystic arts teach magic and defend reality from supernatural threats.
-
C.
Taj Mahal
The Taj Mahal is a 17th-century white marble mausoleum in Agra, India, renowned worldwide as a masterpiece of Mughal architecture and a symbol of enduring love.
-
D.
Taj Mahal
Taj Mahal is an American blues musician and singer-songwriter known for blending traditional blues with elements of world music, including Caribbean, African, and Hawaiian influences.
-
E.
Taj Dubai
Taj Dubai is a luxury five-star hotel in Dubai known for its opulent Indian-inspired design, upscale amenities, and views of the Burj Khalifa.
- 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: Taj Triple: [Taj Monroe Tallarico, givenName, Taj]
Generated description
Taj is an American actor and musician best known as the son of Aerosmith frontman Steven Tyler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taj Target entity description: Taj is an American actor and musician best known as the son of Aerosmith frontman Steven Tyler.
-
A.
Taj
Taj was the former name of Esteghlal F.C., one of Iran’s most successful and popular football clubs.
-
B.
Kamar-Taj
Kamar-Taj is a hidden mystical sanctuary and training ground for sorcerers in the Marvel universe, where masters of the mystic arts teach magic and defend reality from supernatural threats.
-
C.
Taj Mahal
The Taj Mahal is a 17th-century white marble mausoleum in Agra, India, renowned worldwide as a masterpiece of Mughal architecture and a symbol of enduring love.
-
D.
Taj Mahal
Taj Mahal is an American blues musician and singer-songwriter known for blending traditional blues with elements of world music, including Caribbean, African, and Hawaiian influences.
-
E.
Taj Dubai
Taj Dubai is a luxury five-star hotel in Dubai known for its opulent Indian-inspired design, upscale amenities, and views of the Burj Khalifa.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.