Triple
T6371023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tower |
E143343
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tower
Tower is a surname of English origin borne by various notable individuals, including American politician John Tower.
|
E588868
|
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: Tower | Statement: [John Tower, familyName, Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Context triple: [John Tower, familyName, Tower]
-
A.
Tower
Tower is a key riverside area in central London, best known for landmarks like the Tower of London and Tower Bridge and serving as a major stop on Thames river transport routes.
-
B.
Edifice
Edifice is a line of Casio wristwatches known for their sporty, sophisticated designs and advanced chronograph and technology features.
-
C.
Earth Tower
Earth Tower is a hotel tower at the Mohegan Sun casino resort in Connecticut, offering additional guest accommodations and amenities.
-
D.
Trade Tower
Trade Tower is a prominent commercial skyscraper located in the Diamond Exchange District, known for housing offices and businesses linked to the local diamond and trade industries.
-
E.
Record Tower
Record Tower is a historic medieval fortification and one of the oldest surviving structures within Dublin Castle in Dublin, Ireland.
- 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: Tower Triple: [John Tower, familyName, Tower]
Generated description
Tower is a surname of English origin borne by various notable individuals, including American politician John Tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tower Target entity description: Tower is a surname of English origin borne by various notable individuals, including American politician John Tower.
-
A.
Tower
Tower is a key riverside area in central London, best known for landmarks like the Tower of London and Tower Bridge and serving as a major stop on Thames river transport routes.
-
B.
Edifice
Edifice is a line of Casio wristwatches known for their sporty, sophisticated designs and advanced chronograph and technology features.
-
C.
Earth Tower
Earth Tower is a hotel tower at the Mohegan Sun casino resort in Connecticut, offering additional guest accommodations and amenities.
-
D.
Trade Tower
Trade Tower is a prominent commercial skyscraper located in the Diamond Exchange District, known for housing offices and businesses linked to the local diamond and trade industries.
-
E.
Record Tower
Record Tower is a historic medieval fortification and one of the oldest surviving structures within Dublin Castle in Dublin, Ireland.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068289eac8190a17affed87340c1f |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d9203988190a535b4f06f478292 |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c6306eca2c81909ee4930c0dc62072 |
completed | March 27, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c630eb15cc8190b55c6cf60c5690d2 |
completed | March 27, 2026, 7:25 a.m. |
Created at: March 22, 2026, 4:33 p.m.