Triple
T16784207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorabji Tata |
E407929
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dorabji
Dorabji is an Indian given name most notably borne by Dorabji Tata, a pioneering industrialist and key figure in the early development of the Tata Group.
|
E1234273
|
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: Dorabji | Statement: [Dorabji Tata, givenName, Dorabji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorabji Context triple: [Dorabji Tata, givenName, Dorabji]
-
A.
Gangadhar
Gangadhar is the given name of Raja Gangadhar Rao, a 19th-century Maratha ruler of the princely state of Jhansi in India.
-
B.
Behari
Behari is a fictional character, likely from South Asian literature or drama, connected to the character Ashalata in a significant narrative relationship.
-
C.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
D.
Moropant
Moropant was an 18th-century Marathi poet renowned for his prolific and stylistically rich contributions to classical Marathi literature, including numerous epics and devotional works.
-
E.
Nandlal
Nandlal is an Indian given name, notably borne by Nandlal Nehru, an early 20th-century lawyer and member of the prominent Nehru family.
- 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: Dorabji Triple: [Dorabji Tata, givenName, Dorabji]
Generated description
Dorabji is an Indian given name most notably borne by Dorabji Tata, a pioneering industrialist and key figure in the early development of the Tata Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dorabji Target entity description: Dorabji is an Indian given name most notably borne by Dorabji Tata, a pioneering industrialist and key figure in the early development of the Tata Group.
-
A.
Gangadhar
Gangadhar is the given name of Raja Gangadhar Rao, a 19th-century Maratha ruler of the princely state of Jhansi in India.
-
B.
Behari
Behari is a fictional character, likely from South Asian literature or drama, connected to the character Ashalata in a significant narrative relationship.
-
C.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
D.
Moropant
Moropant was an 18th-century Marathi poet renowned for his prolific and stylistically rich contributions to classical Marathi literature, including numerous epics and devotional works.
-
E.
Nandlal
Nandlal is an Indian given name, notably borne by Nandlal Nehru, an early 20th-century lawyer and member of the prominent Nehru family.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b218d31881908d896e688ebd171c |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab056dc88190aeb9e135ae955125 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00abe78194819098a2867c7cb5b8b2 |
completed | May 10, 2026, 4:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00afddb580819090e6b4e9dd4c1545 |
completed | May 10, 2026, 4:18 p.m. |
Created at: April 10, 2026, 5:22 a.m.